PAPERS PUBLISHED IN CONFERENCE PROCEEDINGS (Since 1998)
(Supervised students and postdocs at MSU and TAMUK are underlined)
2023
[257] C.
Shah and Q. Du, "Hyperspectral
Image Classification of Agricultural Tillage Practices Using Spatial-aware
Collaborative Representation," 2023 11th International Conference on Agro-Geoinformatics.
[256] C.
Shah and Q. Du, "Attention
Aware Generative Adversarial Network for Hyperspectral Image Classification,"
2023 IEEE GRSS Workshop on
Hyperspectral Image and Signal Processing: Evolutions in Remote Sensing.
2022
[255] S. A. Shammi and Q. Du, "Hyperspectral image change detection using deep learning and band expansion," IEEE GRSS 12th Workshop on Hyperspectral Image and Signal Processing, Rome, Italy, September 2022.
[254] Y. Su, S. Mei, G. Zhang, Y. Wang, M. He, and Q. Du, "Gaussian information entropy based band reduction for unsupervised hyperspectral video tracking," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.
[253] C. Shah and Q. Du, "Collaborative-competitive representation with spatial regularization for hyperspectral anomaly detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.
[252] C.
Shah and Q. Du, "Laplacian
regularized spatial-aware collaborative competitive representation for
hyperspectral dimensionality reduction," Proceedings of IEEE Geoscience and Remote Sensing Symposium,
Kuala Lumpur, Malaysia, July 2022.
[251] H. Qin, W. Xie, Y. Li, and Q. Du, "HTD-VIT: Spectral-spatial joint hyperspectral target detection with vision transformer," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malayia, July 2022.
[250] Y. Liu, S. Mei, S. Zhang, Y. Wang, M. He, and Q. Du, "Semantic segmentation of high-resolution remote sensing images using an improved transformer," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.
[249] C. Song, S. Mei, M. Ma, F. Xu, Y. Zhang, and Q. Du, "Hyperspectral image classification using hierarchical spatial-spectral transformer," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, July 2022.
2021
[248] X.-R. Feng, H.-C. Li, and Q. Du, "Hyperspectral unmixing based on nonnegative tensor factorization with double constraints," Proceedings of 55th Asilomar Conference on Signals, Systems, and Computers, 2021.
[247] H. Omarsson and Q. Du, "Hyperspectral image classification by factional cosine transform based feature extraction," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[246] Y. Wang, S. Mei, S. Zhang, and Q. Du, "SIAMMRAAN: Siamese multi-level residual attention network for hyperspectral video tracking," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[245] B. Wang, S. Mei, Y. Fend, and Q. Du, "Hyperspectral image super-resolution based on self-calibrated attention residual network," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[244] H. Qin, W. Xie, Y. Li, K. Jiang, J. Lei, and Q. Du, "PTGAN: A proposal-weighted two-stage GAN with attention for hyperspectral target detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[243] C. Shah and Q. Du, "Collaborative and low-rank graph for discriminant analysis of hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[242] C. Shah and Q. Du, "Modified structure-aware collaborative representation for hyperspectral image classificaction," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[241] B. Xi, J. Li, Y. Li, and Q. Du, "Semi-supervised graph prototypical networks for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
[240] Z. Hou, W. Li and Q. Du, "A patch tensor-based change detection method for hyperspectral images," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Brussels, Belgium, July 2021.
2020
[239] W. Holland and Q. Du, "Adversarially regularized autoencoder for hyperspectral image unmixing," Proceedings of SPIE Image and Signal Processing for Remote Sensing XXVI, Edinburgh, UK, September 2020.
[238] C. Shah and Q. Du, "Spatial-aware probabilistic collaborative representation for hyperspectral image classification," Proceedings of SPIE Image and Signal Processing for Remote Sensing XXVI, Edinburgh, UK, September 2020.
[237] W. Hu, H.-C. Li, T. Ma, Q. Du, A. Plaza, and W. J. Emery, "Hyperspectral image classification based on tensor-train convolutional long short-term memory," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Waikoloa, HI, September 2020.
[236] L. Tian, Q. Du, and I. Kopriva, "L0-motivated low rank sparse subspace clustering for hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Waikoloa, HI, September 2020.
[235] T. Jiang, W. Xie, Y. Li, and Q. Du, "Discriminative semi-supervised generative adversarial network for hyperspectral anomaly detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Waikoloa, HI, September 2020.
[234] C. Ge and Q. Du, “Probability fusion for hyperspectral and LiDAR data,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Waikoloa, HI, September 2020.
[233] Q. Du, J. Ball, and C. Ge, "Hyperspectral and LiDAR data fusion using collaborative representation," Proceedings of SPIE Conference on Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI, Anaheim, CA, April 2020.
2019
[232] G. Li, Y. Zhao, Y. Xu, and Q. Du, "Evaluation of convolutional neural network for detecting floor eggs of cage-free hen housing systems," International Symposium on Animal Environment and Welfare, Chongqing, China, October 2019.
[231] Y. Zhang, W. Li, and Q. Du, "Discriminative marginalized least squares regression for hyperspectral image classification," Proceedings of the 10th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Amsterdam, The Netherlands, September 2019.
[230] C. Ge, Q. Du, Y. Li, and J. Li, "Multitemporal hyperspectral image classification using collaborative representation-based classification with Tikhonov regularization," Proceedings of the 10th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Shanghai, China, August 2019.
[229] S. Mei, X. Liu, G. Zhang, and Q. Du, "Sensor-specific transfer learning for hyperspectral image processing," Proceedings of the 10th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Shanghai, China, August 2019.
[228] J. Li, R. Cui, Y. Li, B. Li, Q. Du, and C. Ge, "Multitemporal hyperspectral image super-resolution through 3D generative adversarial network," Proceedings of the 10th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Shanghai, China, August 2019.
[227] Y. Yu, Z. Wu, H. Su, and Q. Du, "Land cover changes of Bagua Island with collaborative representation using multi-temporal satellite images," Proceedings of the 10th International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Shanghai, China, August 2019.
[226] Z. Wu, H. Su, and Q. Du, "Low-rank and collaborative representation for hyperspectral anomaly detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[225] C. Chen, X. Zhao, W. Li, R. Tao, and Q. Du, "Collaborative classification of hyperspectral and Lidar data with information fusion and deep nets," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[224] Y. Xu, J. Peng, Q. Du, and N. Younan, "Multiple-feature ideal regularized kernel for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[223] Y. Xu, Q. Du, and N. Younan, "Fast kernel collaborative representation for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[222] L. Tian, Q. Du, I. Kopriva, and N. Younan, "Orthogonal graph-regularized non-negative matrix factorization for hyperspectral image clustering," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[221] G. Zhang, S. Mei, J. Tian, Y. Feng, and Q. Du, "Local sparse representation based spatial preprocessing for endmember extraction," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[220] X. Liu, S. Mei, Z. Zhang, Y. Zhang, J. Ji, and Q. Du, "DeCS-Net: convolutional self-encoding network for hyperspectral image denoising," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[219] Z. Tian, Z. Zhang, S. Mei, R. Jiang, S. Wan, and Q. Du, “Discriminative CNN via metric learning for hyperspectral classification,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[218] Y. Geng, S. Mei, J. Tian, Y. Zhang, and Q. Du, “Spatial constrained hyperspectral reconstruction from RGB inputs using dictionary representation,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[217] J. Li, R. Cui, B. Li, Y. Li, S. Mei, and Q. Du, "Dual 1D-2D spatial-spectral CNN for Hyperspectral Image super-resolution," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[216] J. Qu, Q. Du, Y. Li, and W. Dong, “Hyperspectral and pancromatic image fusion based on weighted tensor matrix,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[215] R. H. Md. Rafi, B. Tang, Q. Du, and N. Younan, “Attention-based domain adaptation for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[214] S. Liu, Y. Zheng, M. Dalponte, X. Tong, and Q. Du, “Feature-level fusion of Landat-8 OLI-SWIR and TIR images for fine burned area change detection,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
[213] X. Bian, C. Chen, C. Deng, R. Liu, and Q. Du, “Hierarchical deep feature representation for high-resolution scene classification,” Proceedings of IEEE Geoscience and Remote Sensing Symposium, Yokohama, Japan, July 2019.
2018
[212] J. Li, Q. Du, B. Xi, and Y. Li, "hyperspectral image classification via sample expansion for convolutional neural network," IEEE GRSS 9th Workshop on Hyperspectral Image and Signal Processing, Amsterdam, Netherland, September 2018.
[211] L. Tian, Q. Du, I. Kopriva, and N. Younan, "Kernel spatial-spectral based multi-view low-rank sparse subspace clustering for hyperspectral imagery," IEEE GRSS 9th Workshop on Hyperspectral Image and Signal Processing, Amsterdam, Netherland, September 2018.
[210] V. Menon and Q. Du, "Randomized non negative matrix factorization for hyperspectral image classification," IEEE GRSS 9th Workshop on Hyperspectral Image and Signal Processing, Amsterdam, Netherland, September 2018.
[209] X. Ding, X. Shi, Q. Du, and N. Younan, "A coastline extraction algorithm using line dependent superpixels for single-polarized ENVISAT and ERS imagery," Proceedings of 10th IAPR Workshop on Pattern Recognition in Remote Sensing, Beijing, China, August 2018.
[208] W. Li, Z. Wang, L. Li and Q. Du, "Modified extinction profiles for hyperspectral image classification," Proceedings of 10th IAPR Workshop on Pattern Recognition in Remote Sensing, Beijing, China, August 2018.
[207] X. Li, Wei Li, X. Xu, and Q. Du, "CascadeNet: Modified ResNet with cascade blocks," Proceedings of IAPR Annual Conference, Beijing, China, August 2018.
[206] S. Mei, B. M. Khan, Y. Zhang, and Q. Du, "Low-complexity hyperspectral image compression using folded PCA and JPEG2000," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[205] Z. Tian, J. Ji, S. Mei, J. Hou, S. Wan, and Q. Du, "hyperspectral classification via spatial context exploration with multi-scale CNN," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[204] X. Chen, J. Ji, S. Mei, Y. Zhang, M. Han, and Q. Du, "FPGA based implementation of convolutional neural network for hyperspectral classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[203] S. Zhao, W. Li, Q. Du, and Q. Ran, "hyperspectral classification based on Siamese neural network using spectral-spatial feature," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[202] Y. Chen, M. Zhang, W. Li, and Q. Du, "Joint feature extraction for multispectral and panchromatic images based on convolutional neural network," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[201] S. Liu, Q. Du, L. Bruzzone, A. Samat, and X. Tong, "Unsupervised multi-class change detection in bitemporal multispectral images using band expansion," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[200] V. Menon, Q. Du, and S. Christopher, "Improved random projection with K-means clustering for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[199] W.-Y. Wang, H.-C. Li, L. Pan, G. Yang, and Q. Du, "hyperspectral image classification based on capsule network," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[198] L.Tian, Q. Du, I. Kopriva, and N. Younan, "Spatial-spectral based multi-view low-rank sparse subspace clustering for hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[197] Y. Xu, Q. Du, W. Li, and N. Younan, "Gabor-filtering-based probabilistic collaborative representation for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
[196] X. Bian, Y. Sheng, Y. Xu, and Qian Du, "A novel multiple kernel learning framework for remote sensing scene classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
2017
[195] Y. Xu, Q. Du, W. Li, and N. Younan, "Low-complexity multiple collaborative representations for hyperspectral image classification," Proceedings of SPIE Conference on High-Performance Computing in Geoscience and Remote Sensing, Warsaw, Poland, September 2017.
[194] S. Mei, X. Yuan, J. Ji, S. Wan, J. Hou, and Q. Du, "Hyperspectral image super-resolution via convolutional neural network," Proceedings of IEEE International Conference on Image Processing, Beijing, China, September 2017.
[193] S. Mei, Y. Chen, J. Ji, J. Hou, and Q. Du, "Fusing different levels of deep features by deep stacked neural network for hyperspectral images," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[192] J. Ji, S. Mei, J. Hou, X. Li, and Q. Du, "Learning sensor-specific features for hyperspectral images via 3-dimensional convolutional autoencoder," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[191] F. Feng, W. Li, and Q. Du, "Sparse graph embedding dimension reduction for hyperspectral image with a new spectral similarity metric," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[190] W. Li, G. Wu, and Q. Du, "Transferred deep learning for hyperspectral target detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[189] S. Liu, Q. Du, X. Tong, A. Samat, L. Bruzzone, and F. Bovolo, "Spectral-spatial multiscale approach for unsupervised multiple change detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[188] Y. Xu, Q. Du, W. Li, C. Chen, N. H. Younan, "Nonlinear classification of multispectral imagery using representation-based classifiers," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[187] L. Tian, Q. Du, N. Younan, and I. Kopriva, "Tensor-based offset-sparsity decomposition for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[186] X. Bian, C. Chen, Y. Sheng, Y. Xu, and Q. Du, "Fusing two convolutional networks for high-resolution scene classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Fort Worth, Texas, July 2017.
[185] S. Liu, Q. Du,"Band selection for change detection from hyperspectral Images," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, Anaheim, CA, Apr. 2017.
[184] J. Li, B. Kingsdorf, and Q. Du"Band selection for hyperspectral image classification using extreme learning machine," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXIII, Anaheim, CA, Apr. 2017.
2016
[183] D. Han, Q. Du, and N. Younan, "Semisupervised classification of hyperspectral remote sensing images with spatial majority voting, " Proceedings of 9th IAPR Workshop on Pattern Recognition in Remote Sensing, Cancun, Mexico, December 2016.
[182] C. Pan, K. Tan, Q. Du, Q. Yan, and J. Ding, "Hyperspectral image desctriping using umixing-based kriging interpolation," IEEE GRSS 8th Workshop on Hyperspectral Image and Signal Processing, Los Angles, USA, August 2016.
[181] W. Ma, K. Tan, Q. Du, J. Ding, and Q. Yan, "Estimating soil heavy metal concentration using hyperspectral data and weighted K-NN method," IEEE GRSS 8th Workshop on Hyperspectral Image and Signal Processing, Los Angles, USA, August 2016.
[180] M. Zhang, W. Li, and Q. Du, "Joint low-rank and sparse representation-based hyperspectral image classification," IEEE GRSS 8th Workshop on Hyperspectral Image and Signal Processing, Los Angles, USA, August 2016.
[179] K. Wu and Q. Du, "Subpixel mapping of remotely sensed imagery based on maximum a posteriori estimation and fuzzy ARTMAP neural network," IEEE GRSS 8th Workshop on Hyperspectral Image and Signal Processing, Los Angles, USA, August 2016.
[178] V. Menon, Q. Du, and J. E. Fowler, "Random projection based nonnegative least squares for hyperspectral image unmixing," IEEE GRSS 8th Workshop on Hyperspectral Image and Signal Processing, Los Angles, USA, August 2016.
[177] Y. Xu, Q. Du, and N. Younan, "Particle swarm optimization-based band selection for hyperspectral target detection," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[176] L. Tian, Q. Du, N. Younan, and I. Kopriva, "Multispectral image enhancement with extended offset-sparsity decomposition," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[175] J. Li, Q. Du, W. Li, and Y. Li, "Representation-based hyperspectral image classification with imbalanced data," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[174] V. Menon, Q. Du, and J. E. Fowler, "Hadamard-Walsh random projection for hyperspectral image classification," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[173] X. Bian, C. Chen, Q. Du, and Y. Sheng, "Extended multi-structure local binary pattern for high-resolution image scene classification," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[172] J. Zhu, K. Tan, and Q. Du, "Tri-training for remote sensing classification based on multi-scale homogeneity," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[171] S. Mei, J. Ji, Q. Bi, J, Hou, Q. Du, and W. Li, "Integrating spectral and spatial information in deep convolution neural networks for hyperspectral image classification," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[170] S. Mei, Q. Bi, J. Ji, J, Hou, and Q. Du, "How to fully explore the low-rank property for data recovery of hyperspectral images," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[169] L. Wu, X. Xie, W. Li, and Q. Du, "Parallel collaborative representation for hyperspectral image classification on GPUs," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[168] Z. Fang, W. Li, J. Zou, and Q. Du, "Using CNN-based high-level features for remote sensing scene classification," Proceeding of IEEE Geoscience and Remote Sensing Symposium, Beijing, China, July 2016.
[167] J. Li, W. Li, Q. Du, and Y. Li, "A generalized representation-based classifier for hyperspectral image classification," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XXII, Baltimore, MD, Apr. 2016.
[166] J. Li, Q. Du, and Y. Li, "Region-based collaborative sparse unmixing for hyperspectral imagery," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing XI, Baltimore, MD, Apr. 2016.
2015
[165] J. Liu, W. Li, Q. Du, and K. Liu, "Locality-constrained anomaly detection for hyperspectral imagery," Proceedings of International Conference on Intelligent Earth Observing and Applications, Guilin, China, Oct. 2015.
[164] A. Sumarsono and Q. Du, "Hyperspectral image classification with low-rank subspace and sparse representation," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015.
[163] S. Mei, Q. Du, M. He, and Y. Wang, "Spatial preprocessing for spectral endmember extraction by local linear embedding," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015.
[162] W. Li and Q. Du, "Adaptive sparse representation for hyperspectral image classification," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, July 2015.
[161] L. Wang, X. Xie, W. Li, and Q. Du, "Sparse feature extraction for hyperspectral image classification," Proceedings of the 3rd IEEE China Summit & International Conference on Signal and Information Processing, Chengdu, China, July 2015.
[160] A. Sumarsono, Q. Du, and N. Younan, "Hyperspectral image segmentation with low-rank representation and spectral clustering," Proceedings of 7th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, June 2015.
[159] S. Mei, Q. Du, and M. He, "Endmember extraction by l2,0 constrained sparse dictionary selection," Proceedings of 7th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, June 2015.
[158] Q. Ran, W. Li, and Q. Du, "Spatial-spectral classification with local region filter and Markov random field," Proceedings of 7th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, June 2015.
[157] W. Li, L. Chang, and Q. Du, "Representation-based classification for hyperspectral imagery: an elastic net regularization approach," Proceedings of 7th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, June 2015.
[156] B. Peng, X. Xie, W. Li, and Q. Du, "Hyperspectral image classification using multiple features and nearest regularized subspace," Proceedings of 7th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Tokyo, Japan, June 2015.
[155] J. Li, Q. Du, W. Li, and Y. Li, "Improving the performance of extreme learning machine for hyperspectral image classification," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing XI, Baltimore, MD, April 2015.
[154] Q. Du and W. Li, "Kernel weighted joint collaborative representation for hyperspectral image classification," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing XI, Baltimore, MD, April 2015.
[153] W. Li and Q. Du, "Support vector machine with adaptive composite kernel for hyperspectral image classification," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing XI, Baltimore, MD, April 2015.
2014
[152] Q. Du and X. Li, "Parallel random selection and projection for hyperspectral image analysis," Proceedings of European SPIE Remote Sensing Conference on High Performance Computing in Remote Sensing, Amsterdam, Netherlands, September 2014.
[151] W. Li, W. Hu, Q. Ran, F. Zhang, Q. Du, and N. H. Younan, "Improving hyperspectral image classification using smoothing filter via sparse gradient minimization," Proceedings of the 8th IAPR Workshop on Pattern Recognition in Remote Sensing, Stockholm, Sweden, August 2014.
[150] W. Li, Q. Ran, Q. Du, and C. Yang, "Improved classification of conservation tillage practices using hyperspectral imagery with spatial-spectral features," Proceedings in the 3rd International Conference on Argo-Informatics, Beijing, China, August 2014.
[149] A. Sumarsono and Q. Du, "Robust principal component analysis for hyperspectral anomaly detection," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Quebec City, Canada, July 2014.
[148] M. Xiong, W. Li, and Q. Du, "Regularized collaborative representation with difference similarity measures for hyperspectral image classification," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Quebec City, Canada, July 2014.
[147] J. Zou, X. Huang, W. Li, and Q. Du, "Improved hyperspectral image classification with adaptive spatial filtering," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Quebec City, Canada, July 2014.
[146] N. Raksuntorn, Q. Du, N. H. Younan, and W. Li, "Orthogonal matching pursuit for nonlinear unmixing of hyperspectral imagery," Proceedings of the 2nd IEEE China Summit & International Conference on Signal and Information Processing, XiAn, China, July 2014.
[145] Z. Ye, M. He, J. E. Fowler, and Q. Du, "Hyperspectral image classification based on spectral-derivative features and locality-preserving analysis," Proceedings of the 2nd IEEE China Summit & International Conference on Signal and Information Processing, XiAn, China, July 2014.
[144] W. Li, S. Prasad, E. Tramel, J. E. Fowler, and Q. Du, "Decision fusion for hyperspectral image classification based on minimum distance classifier in wavelet domain," Proceedings of the 2nd IEEE China Summit & International Conference on Signal and Information Processing, XiAn, China, July 2014.
[143] A. Sumarsono and Q. Du, "Estimate of number of signal subspaces in hyperspectral imagery using low-rank subspace representation," Proceedings of 6th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lausanne, Switzerland, June 2014.
[142] N. Ly, Q. Du, J. E. Fowler, and N. H. Younan, "Dimensionality reduction of hyperspectral imagery with sparse and collaborative graphs," Proceedings of 6th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lausanne, Switzerland, June 2014.
[141] W. Li and Q. Du, "Collaborative representation based k-nearest neighbor classifier for hyperspectral imagery," Proceedings of 6th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lausanne, Switzerland, June 2014.
[140] W. Li and Q. Du, "Joint sparse and collaborative representation for target detection in hyperspectral imagery," Proceedings of 6th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lausanne, Switzerland, June 2014.
[139] Q. Du, N. Raksuntorn, and N. H. Younan, "On performance improvement of vertex component analysis-based endmember extraction from hyperspectral imagery," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing X, Baltimore, MD, May 2014.
[138] W. Li and Q. Du, "An efficient spatial-spectral classification method for hyperspectral imagery," Proceedings of SPIE International Conference on Satellite Data Compression, Communications, and Processing X, Baltimore, MD, May 2014.
2013:
[137] Z. Long, Q. Du, and N. H. Younan, "Decision fusion for improved detection of buried radioactive objects," Proceedings of IEEE Nuclear Science Symposium, Seoul, Korea, Oct. 2013.
[136] Z. Long, Q. Du, and N. H. Younan, "Decision fusion for buried radioactive target detection and discrimination using radiation and EMI data," Proceedings of the 21th International Conference on Applied Electromagnetics and Communications, Dubrovnik, Croatia, Oct. 2013.
[135] Q. Du, W. Wei, B. Ma, and N. H. Younan, "Hyperspectral image compression and target detection using nonlinear principal component analysis," Proceedings of SPIE Annual Conference on Satellite Data Compression, Communication, and Processing, San Diego, CA, Aug. 2013.
[134] Q. Du, D. Han, and N. H. Younan, "Combine labeled and unlabeled information for hyperspectral image classification," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2581-2584, Melbourne, Australia, July 2013.
[133] B. Ma and Q. Du, "Hyperspectral targe detection with sparseness constraint," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 1059-1062, Melbourne, Australia, July 2013.
[132] W. Li and Q. Du, "Unsupervised nearest regularized subspace for anomaly detection in hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 1055-1058, Melbourne, Australia, July 2013.
[131] Z. Long, Q. Du, and N. H. Younan, "Multiscale spectral-spatial classification for hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 1051-1054, Melbourne, Australia, July 2013.
[130] H. Su, P. Du, and Q. Du, "A novel endmember extraction method using modified maximum spectral screening," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 1015-1018, Melbourne, Australia, July 2013.
[129] Q. Du, B. Ma, and N. Raksuntorn, "Improving the performance of sparse unmixing," Proceedings of 5th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Gainesville, FL, USA, June 2013.
[128] Z. Long, Q. Du, and N. H. Younan, "Multiscale spectral-spatial hyperspectral classification using multilinear PCA and contourlet transform," Proceedings of 5th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Gainesville, FL, USA, June 2013.
[127] J. Gao, Q. Du, L. Gao, X. Sun, Y. Wu, and B. Zhang, "Ant colony optimization for supervised and unsupervised hyperspectral band selection," Proceedings of 5th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Gainesville, FL, USA, June 2013.
[126] H. Su, Q. Du, and P. Du, "An optimized band selection scheme for hyperspectral imagery analysis," Proceedings of 5th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Gainesville, FL, USA, June 2013.
2012:
[125] Z. Long, Q. Du, and N. H. Younan, "Hyperspectral feature extraction using contourlet transform," Proceedings of 7th IAPR Workshop on Pattern Recognition in Remote Sensing, Tsukuba City, Japan, Nov. 2012.
[124] N. Ly, Q. Du, and J. E. Fowler, "Noise-adjusted sparsity-preserving dimensionality reduction for hyperspectral image classification," Proceedings of 7th IAPR Workshop on Pattern Recognition in Remote Sensing, Tsukuba City, Japan, Nov. 2012.
[123] H. Su, P. Du, and Q. Du, "Hierarchical band clustering for hyperspectral image analysis," Proceedings of 7th IAPR Workshop on Pattern Recognition in Remote Sensing, Tsukuba City, Japan, Nov. 2012.
[122] Q. Du, N. Ly, and J. E. Fowler, "An operational approach for hyperspectral image compression," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 1357-1360, Munich, Germany, July 2012.
[121] Q. Du, J. Bioucas-Dias, and A. Plaza, "Hyperspectral band selection using a collaborative sparse model," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 3054-3057, Munich, Germany, July 2012.
[120] A. Turlapaty, Q. Du, and N. H. Younan, "A linear statistical approach for detection of buried paramagnetic metal objects using EMI data," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012.
[119] L. Gao, Q. Du, W. Yang, and B. Zhang, "A comparative study on noise estimation for hyperspectral imagery," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[118] H. Su, Q. Du, and P. Du, "Hyperspectral imagery visualization using band selection," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[117] K. Tan, E. Li, Q. Du, and P. Du, "Hyperspectral image classification using band selection and morphological profile," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[116] W. Li, S. Prasad, J. E. Fowler, and Q. Du, "Noise-adjusted subspace linear discriminant analysis for hyperspectral image classification," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[115] Z. Long, Q. Du, and N. H. Younan, "Hyperspectral classification using selected contourlet subbands," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[114] B. Ma and Q. Du, "Improvement of background characterization for hyperspectral target detection," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[113] Q. Du, "A new method for change analysis of multi-temporal hyperspectral images," Proceedings of 4th IEEE GRSS Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
[112] Z. Long, W. Wei, A. Turlapaty, Q. Du, and N. H. Younan, "Fusion of radiation and electromagnetic induction for buried radioactive target detection and characterization," Proceedings of IEEE Symposium on Radiation Measurements and Applications, Oakland, CA, May 2012.
[111] Z. Long, W. Wei, A. Turlapaty, Q. Du, N. H. Younan, and C. Waggoner, "Radiation and electromagnetic induction data fusion for detection of buried radioactive metal waster," Proceedings of Waste Management Conference, Phoenix, AZ, Feb. 2012.
2011:
[110] H. Yang and Q. Du, "Fast band selection for hyperspectral imagery," Proceedings of IEEE International Workshop on Parallel and Distributed Computing in Remote Sensing, Tainan, Taiwan, Dec. 2011.
[109] W. Wei, Q. Du, and N. H. Younan, "Parallel optimization-based spectral transformation for detection and classification of buried radioactive materials," IEEE Nuclear Science Symposium Conference Record, Valencia, Spain, Oct. 2011.
[108] I. Kopriva and Q. Du, "Tensor factorization and continuous wavelet transform for model-free single-frame blind image deconvolution," Proceedings of the 7th International Symposium on Signal and Image Processing and Analysis, pp. 529-533, Dubrovnik, Croatia, Sep. 2011.
[107] F. Pacifici, J. Chanussot, and Q. Du, "2011 GRSS data fusion contest: Exploiting WorldView-2 multi-angular acquisitions," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 1163-1166, Vancouver, Canada, July 2011.
[106] A. Turlapaty, Q. Du, and N. H. Younan, "Detection and classification of buried radioactive-metal objects using wideband EMI data," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 1115-1118, Vancouver, Canada, July 2011.
[105] Q. Du, J. E. Fowler, and B. Ma, "Random-projection-based dimensionality reduction and decision fusion for hyperspectral target detection," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 1790-1793, Vancouver, Canada, July 2011.
[104]H. Yang and Q. Du, "Particle swarm optimization-based dimensionality reduction for hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 2357-2360, Vancouver, Canada, July 2011.
[103] C. Yang, J. A. Goolsby, J. H. Everitt, and Q. Du, "Applying spectral unmixing and support vector machine to airborne hyperspectral imagery for detecting giant reed," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 3664-3667, Vancouver, Canada, July 2011.
[102] Q. Du, H. Yang, and N. H. Younan, "Improved sequential endmember extraction algorithms," Proceedings of 3rd Workshop on Hyperspectral and Signal Processing: Evolution in Remote Sensing, Lisbon, Portugal, June 2011.
[101] W. Wei, Q. Du, N. H. Younan, C. Waggoner, and D. Rogers, "Optimized spectral transformation for detection and classification of buried radioactive waste," Proceedings of Waste Management Conference, Phoenix, AZ, March 2011.
2010:
[100] W. Wei, Q. Du, and N. H. Younan, "Estimation of mass and depth of buried radioactive material using neural networks," IEEE Nuclear Science Symposium Conference Record, Knoxville, TN, Nov. 2010.
[99] W. Wei, Q. Du, and N. H. Younan, "Particle swarm optimization based spectral transformation for radioactive material detection and classification," Proceedings of IEEE Conference on Computational Intelligence for Measurement Systems and Applications, Taranto, Italy, Sep. 2010.
[98] H. Yang, Q. Du, and B. Ma, "Weighted decision fusion for supervised and unsupervised hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Jul. 2010.
[97] Q. Du and J. E. Fowler, "On the performance of random-projection-based dimensionality reduction for endmember extraction," Proceedings of IEEE Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, Jul. 2010.
[96] C. Yang, Q. Du, J. H. Everitt, J. A. Goolsby, and N. H. Younan, "Spectral unmixing of airborne hyperspectral imagery for mapping giant reed infestations," Proceedings of IEEE 2nd Workshop on Hyperspectral Image and Signal Processing, Reykjevik, Iceland, Jun. 2010.
[95] Q. Du, "Virtual dimensionality estimation for hyperspectral imagery with a fractal-based method," Proceedings of IEEE 2nd Workshop on Hyperspectral Image and Signal Processing, Reykjevik, Iceland, Jun. 2010.
[94] N. Raksuntorn and Q. Du, "Fast algorithm for searching endmember set per pixel," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI (part of 2010 SPIE Defense & Security Symposium), Orlando, Florida, Apr. 2010.
[93] W. Zhu and Q. Du, "Hyperspectral target detection assessment using an online evaluation system," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XVI (part of 2010 SPIE Defense & Security Symposium), Orlando, Florida, Apr. 2010.
[92] K. Liu, H. Yang, B. Ma, and Q. Du, "A joint optical flow and principal component analysis approach for motion detection," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, Dallas, TX, Mar. 2010.
[91] Q. Du, W. Wei, Z. Huang, N. H. Younan, C. Waggoner, and D. Rogers, "Enhanced effective detection of buried radioactive waste," Proceedings of Waste Management Conference, Phoenix, AZ, Mar. 2010.
2009:
[90] Q. Du and I. Kopriva, "Dependent component analysis for hyperspectral image classification," Proceedings of SPIE European Remote Sensing Conference, SPIE vol. 7477, pp. 74770G1-74770G8, Berlin, Germany, Sep. 2009.
[89] Q. Du. L. Zhang, and N. Raksuntorn, "Improving the quality of extracted endmembers," Proceedings of IEEE First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Grenoble, France, Aug. 2009.
[88] W. Zhu, Q. Du, and J. E. Fowler, "Segmented principal component analysis for hyperspectral image compression," Proceedings of SPIE Conference on Satellite Data Compression, Communications, and Processing, SPIE vol. 7455, pp. 74550I1-74550I8, San Diego, CA, Aug. 2009.
[87] A. Plaza, Q. Du, and Y.-L. Chang, "High performance computing for hyperspectral image analysis: perspective and state-of-art," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 5, pp. 72-75, Cape Town, South Africa, Jul. 2009.
[86] J. E. Fowler, Q. Du, W. Zhu, and N. H. Younan, "Classification performance of random-projection-based dimensionality reduction of hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 5, pp. 76-79, Cape Town, South Africa, Jul. 2009.
[85] H. Yang and Q. Du, "Unsuperivsed hyperspectral band selection using parallel processing," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 5, pp. 80-83, Cape Town, South Africa, Jul. 2009.
[84] H. Yang, B. Ma, and Q. Du, "Decision fusion for supervised and unsupervised hyperspectral image classification," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 4, pp. 948-951, Cape Town, South Africa, Jul. 2009.
[83] N. Raksuntorn and Q. Du, "Nonlinear mixture analysis for hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 3, pp. 829-832, Cape Town, South Africa, Jul. 2009.
[82] H. Yang, B. Ma, Q. Du, and L. Zhang, "Comprarison of spectral-spatial classification for urban hyperspectral imagery with high resolution," Proceedings of IEEE Urban Remote Sensing Workshop, Shanghai, China, May 2009.
[81] H. Yang and Q. Du, "Hyperspectral band selection with similarity assessment," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XV (part of 2009 SPIE Defense & Security Symposium), SPIE vol. 7334, pp. 7334071-7334078, Orlando, FL, Apr. 2009.
[80] H. Yang and Q. Du, "Neural network approach for Mobile Bay water quality mapping with spaceborne measurements," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of 2009 Defense & Security Symposium), SPIE vol. 7343, pp. 73430I1-73430I8, Orlando, FL, Apr. 2009.
[79] Q. Du, "Precipitation data merging using artificial neural networks," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of 2009 Defense & Security Symposium), SPIE vol. 7343, pp. 73430E1-73430E8, Orlando, FL, Apr. 2009.
[78] Q. Du, N. H. Younan, C. Waggoner, and D. Rogers, "Effective detection of buried radioactive waste," Proceedings of Waste Management Conference, Tucson, AZ, Mar. 2009.
2008:
[77] Q. Du and N. H. Younan, "On the performance improvement for linear discriminant analysis-based hyperspectral image classification," Proceedings of 5th IAPR Workshop on Pattern Recognition for Remote Sensing, Tempa, FL, Dec. 2008.
[75] N. Raksuntorn and Q. Du, "On the performance of virtual dimensionality estimation for hyperspectral image analysis," Proceedings of SPIE European Remote Sensing Conference, SPIE vol. 7109, pp. 71090E1-71090E8, Cardiff, UK, Sep. 2008.
[74] Q. Du, N. Raksuntorn, N. H. Younan, and R. L. King, "Variants of N-FINDR algorithm for endmember extraction," Proceedings of SPIE European Remote Sensing Conference, SPIE vol. 7109, pp. 71090G1-71090G8, Cardiff, UK, Sep. 2008.
[72] H. Yang, Q. Du, W. Zhu, I. Banicescu, and J. E. Fowler, "Parallel data compression for hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 2, pp. 986-989, Boston, MA, Jul. 2008.
[71] N. Raksuntorn and Q. Du, "A new linear mixture model for hyperspectral image analysis," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 3, pp. 258-261, Boston, MA, Jul. 2008.
[70] J. Zhang, J. E. Fowler, Q. Du, and G. Z. Liu, "Improvements to 3D TARP coding for the compression of hyperspectral imagery," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 2, pp. 982-985, Boston, MA, Jul. 2008.
[69] Q. Du, W. Zhu, and J. E. Fowler, "Anomaly-based hyperspectral image compression," Proceedings of IEEE Geoscience and Remote Sensing Symposium, vol. 2, pp. 974-977, Boston, MA, Jul. 2008.
[68] Q. Du and N. Raksuntorn, "On the performance of endmember extraction algorithms for hyperspectral image analysis," Proceedings of Geoinformatics 2008, Guangzhou, China, Jun. 2008.
[67] Q. Du and W. Zhu, "Improving the performance of PCA and JPEG2000 for hypespectral image compression," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV (part of 2008 SPIE Defense & Security Symposium), SPIE vol. 6966, pp. 69661I1-69661I8, Orlando, FL, Mar. 2008.
2007:
[66] Q. Du, W. Zhu, and J. Fowler, "Implementation of low-complexity principal component analysis for remotely sensed hyperspectral-image compression," Proceedings of IEEE Workshop on Signal Processing Systems, pp. 307-312, Shanghai, China, Oct. 2007.
[65] Q. Du, N. Younan, and R. King, "Change analysis for hyperspectral imagery," Proceedings of the 4th IEEE International Workshop on the Analysis of Multitemporal Remote Sensing Images, Leuven, Spain, Jul. 2007.
[64] Q. Du and H. Yang, "Unsupervised band selection for hyperspectral image analysis," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 282-285, Barcelona, Spain, Jul. 2007.
[63] J. B. Boettcher, Q. Du, and J. E. Fowler, "Hyperspectral image compression with a 3D dual-tree wavelet transform," Proceedings of IEEE Geoscience and Remote Sensing Symposium, pp. 1033-1036, Barcelona, Spain, Jul. 2007.
[62] Q. Du and W. Zhu, "Integration of PCA and JPEG2000 for hyperspectral image compression," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIII (part of 2007 SPIE Defense & Security Symposium), SPIE vol. 6565, pp. 60650L1-60650L8, Orlando, FL, Apr. 2007.
2006:
[61] Q. Du, "Modified Fisher's linear discriminant analysis for hyperspectral image compression and classification," Proceedings of SPIE International Conference on Chemical and Biological Sensors for Industrial and Environmental Monitoring II (part of Optics East 06), SPIE vol. 6378, pp. 63781D1-63781D8, Boston, MA, Oct. 2006.
[60] Q. Du, N. Raksuntorn, and A. Orduyilmaz, "Restoration of degraded video through turbulent atmosphere," Proceedings of IEEE International Conference on Image Processing, pp. 2009-2012, Atlanta, GA, Oct. 2006.
[59] J. Li, C.-X. Sun, and Q. Du, "A new box-counting method for estimation of image fractal dimension," Proceedings of IEEE International Conference on Image Processing, pp. 3029-3032, Atlanta, GA, Oct. 2006.
[58] Q. Du, N. Raksuntorn, S.-S. Cai, and N. Younan, "Color representation and classification for hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 537-540, Denver, CO, Aug. 2006.
[57] S.-S. Cai, Q. Du, and R. Moorhead, "Remote sensing image visualization using double layers," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 249-252, Denver, CO, Aug. 2006.
[56] N. B. Chang, Q. Du, and K. R. Srilakshmi, "Integration of remote sensing and environmental modeling for pollution prevention in citrus industry," Proceedings of the 5th International Conference on Environmental Informatics, Bowling Green, KY, Aug. 2006.
[55] Q. Du, "Design of application-oriented computer projects in a probability and random processes course for electrical engineering majors," Proceedings of ASEE Annual Conference, Chicago, IL, Jun. 2006.
[54] Q. Du and J. Schneider, "Improvement of an electrical engineering course offered to non-electrical engineering majors," Proceedings of ASEE Annual Conference, Chicago, IL, Jun. 2006.
[53] Q. Du, N. Younan, and R. King, "Application-oriented performance evaluation of pan-sharpening techniques," Proceedings of the 3rd International Symposium on Future Intelligent Earth Observing Satellites, Beijing, China, May 2006.
[52] A. Orduyilmaz, N. Raksuntorn, Q. Du, L. Bruce, V. Anantharaj, S. Wright, "Multi-sensor fusion for mini-UAV platforms," Proceedings of SPIE Conference on Unmanned Systems Technology VII (part of 2006 SPIE Defense & Security Symposium), SPIE vol. 6230, pp. 62300Z1-62300Z8, Orlando, FL, Apr. 2006.
[51] Q. Du and N. Raksuntorn, "Hyperspectral image analysis using noise-adjusted principal component transform," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII (part of Defense & Security Symposium 06), SPIE vol. 6233, pp. 156-163, Orlando, FL, Apr. 2006.
[50] Q. Du and H. Szu, "Interference and noise adjusted principal components analysis for hyperspectral remote sensing image compression," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 06), SPIE vol. 6247, pp. 73-80, Orlando, FL, Apr. 2006.
2005:
[49] S.-S. Cai, Q. Du, R. Moorhead, M. J. Mohammadi-Aragh, and D. Irby, "Noise-adjusted principle component analysis for hyperspectral remotely sensed imagery visualization," Proceedings of IEEE Visualization Conference (Compendium), pp. 119-120, Minneapolis, MN, Oct. 2005.
[48] Q. Du, "On the performance of GLRT algorithm for target detection in hyperspectral imagery," Proceedings of SPIE International Conference on Chemical and Biological Standoff Detection III (part of Optics East 05), SPIE vol. 5995, pp. 5995051-5995058, Boston, MA, Oct. 2005.
[47] Q. Du, C. Yang, and J. Everitt, "Citrus monitoring using aerial CIR photography," Proceedings of 20th Biennial Workshop on Aerial Photography, Videography, and High Resolution Digital Imagery, Weslaco, TX, Oct. 2005.
[46] Q. Du, C. Yang, and J. Everitt, "Airborne hyperspectral image analysis for grain sorghum yield variability mapping," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 4, pp. 25-29, Seoul, Korea, Jul. 2005.
[45] Q. Du, O. Gungor, and J. Shan, "Performance evaluation for pan-sharpening techniques," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 4264-4266, Seoul, Korea, Jul. 2005.
[44] Q. Du, I. Kopriva, and H. Szu, "Investigation on constrained matrix factorization for hyperspectral image analysis, " Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 25-29, Seoul, Korea, Jul. 2005.
[43] Q. Du, L. Wasson, and R. King, "Unsupervised linear unmixing for change detection in multitemporal airborne hyperspectral imagery," Proceedings of 3rd IEEE International Workshop on the Analysis of Multitemporal Remote Sensing Images, pp. 136-140, Biloxi, MS, May 2005.
[42] Q. Du and H. Ren, "On the performance of CEM and TCIMF," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI (part of Defense & Security Symposium 05), SPIE vol. 5806, pp. 861-868, Orlando, FL, Mar. 2005.
[41] Q. Du, I. Kopriva, and H. Szu, "Classifying hyperspectral remote sensing imagery with independent component analysis," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 05), SPIE vol. 5818, pp. 50-58, Orlando, FL, Mar. 2005.
[40] Q. Du, "On the performance of a linear discriminant analysis-based approach for hyperspectral image classification," Proceedings of ASPRS Annual Meeting, Baltimore, MD, Mar. 2005.
[39] Q. Du, A. Orduyilmaz, C. Yang, and J. Everitt, "Detecting citrus tree size, centroid, and health conditions from airborne high-spatial-resolution multispectral imagery," Proceedings of ASPRS Annual Meeting, Baltimore, MD, Mar. 2005.
2004:
[38] Q. Du, "Localized processing for hyperspectral image analysis," Proceedings of 2004 SPIE International Conference on Chemical and Biological Standoff Detection II (part of Optics East 04), SPIE vol. 5584, pp. 202-209, Philadelphia, PA, Oct. 2004.
[37] Q. Du, "Interference and noise adjusted principal component analysis for hyperspectral image compression," Proceedings of SPIE International Conference on Chemical and Biological Standoff Detection II (part of Optics East 04), SPIE vol. 5584, pp. 186-193, Philadelphia, PA, Oct. 2004.
[36] Q. Du, "Realtime online data compression for hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 4, pp. 2503-2505, Anchorage, AK, Sep. 2004.
[35] Q. Du, "Optimal linear unmixing for hyperspectral image analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 5, pp. 3219-3221, Anchorage, AK, Sep. 2004.
[34] Q. Du, J. V. French, M. Skaria, C. Yang, and J. H. Everitt, "Citrus pest stress monitoring using airborne hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 3981-3984, Anchorage, AK, Sep. 2004.
[33] A. Drunpob, N. B. Chang, M. Beaman, Q. Du, and C. Wyatt, "Optimal siting of hydrological monitoring stations with respect to remote sensing-based geo-environmental patterns," Proceedings of International Geoscience and Remote Sensing Symposium, vol. 7, pp. 4873-4876, Anchorage, AK, Sep. 2004.
[32] Q. Du and T. Howard, "Multispectral image classification using independent component analysis and data dimensionality expansion approaches," Proceedings of SPIE Annual Meeting, SPIE vol. 5546, pp. 374-381, Denver, CO, Aug. 2004.
[31] Q. Du, "Independent component analysis to hyperspectral image classification," Proceedings of SPIE Annual Meeting, SPIE vol. 5546, pp. 366-373, Denver, CO, Aug. 2004.
[30] Q. Du, "Realtime online unsupervised detection and classification for remotely sensed imagery," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X (part of Defense & Security Symposium 04), SPIE vol. 5425, pp. 665-675, Orlando, FL, Apr. 2004.
[29] Q. Du, I. Kopriva, H. Szu, and J. Buss, "Independent component analysis for remotely sensed image classification with limited data dimensionality," (invited paper) Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 04), SPIE vol. 5439, pp. 84-91, Orlando, FL, Apr. 2004.
[28] I. Kopriva, Q. Du, and H. Szu, "Independent component analysis approach to image sharpening in the presence of atmospheric turbulence," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 04), SPIE vol. 5439, pp. 63-73, Orlando, FL, Apr. 2004.
2003:
[27] Q. Du and H. Szu, "Unsupervised hyperspectral image classification using Lagrange constrained neural network approach," Proceedings of IEEE International Conference on Neural Networks and Signal Processing, pp. 270-274, Nanjing, China, Dec. 2003.
[26] Q. Du and C.-I Chang, "Segmented PCA-based compression for hyperspectral image analysis," Proceedings of SPIE International Conference on Chemical and Biological Standoff Detection I (part of Optics East 03), SPIE vol. 5268, pp. 274-281, Providence, RI, Oct. 2003.
[25] H. Ren, Q. Du, C.-I Chang, and J. Jensen, "Comparison between constrained energy minimization based approaches for hyperspectral imagery," Proceedings of IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, pp. 244-248, Washington DC, Oct. 2003.
[24] Q. Du, "Band selection and its impact on target detection and classification in hyperspectral imagery," Proceedings of IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, pp. 374-377, Washington DC, Oct. 2003.
[23] C.-I Chang, H. Ren, and Q. Du, "A revisit to TCIMF algorithm," Proceedings of SPIE Annual Meeting, SPIE vol. 5159, pp. 339-348, San Diego, CA, Aug. 2003.
[22] Q. Du, "Noise estimation for remote sensing image data analysis," Proceedings of SPIE Annual Meeting, SPIE vol. 5159, pp. 246-254, San Diego, CA, Aug. 2003.
[21] S. Chakarvarty, Q. Du, and H. Ren, "Unsupervised hyperspectral image classification using adaptive expectation-maximization algorithm," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 3, pp. 1796-1798, Toulouse, France, Jul. 2003.
[20] Q. Du and S. Chakarvarty, "Unsupervised hyperspectral image classification using blind source separation," Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp. 437-440, Hong Kong, China, Apr. 2003.
[19] Q. Du and B. Shia, "Realtime online processing for remote sensing imagery," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX (part of Defense & Security Symposium 03), SPIE vol. 5093, pp. 686-693, Orlando, FL, Apr. 2003.
[18] Q. Du, H. Szu, and H. Ren, "A postprocessing technique for Lagrange constrained neural network approach," Proceedings of SPIE International Conference on Independent Component Analysis, Wavelets, and Neural Networks (part of Defense & Security Symposium 03), SPIE vol. 5102, pp. 17-24, Orlando, FL, Apr. 2003.
2002:
[17] Q. Du, H. Ren, and C.-I Chang, "A study between orthogonal subspace projection and generalized likelihood ratio test in hyperspectral image analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 5, pp. 2575-2577, Toronto, Canada, Jun. 2002.
[16] H. Ren, Q. Du, and J. Jensen, "Constrained weighted least squares approaches for target detection and classification in hyperspectral imagery," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 3426-3428, Toronto, Canada, Jun. 2002.
[15] Q. Du and R. Nekovei, "Real-time VLSI architecture for hyperspectral image classification using the constrained linear discriminant algorithm," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, vol. 6, pp. 3384-3386, Toronto, Canada, Jun. 2002.
[14] H. Ren, Q. Du, and J. Jensen, "An efficient anomaly detection algorithm for hyperspectral imagery," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII (part of Aerospace02), vol. 4725, pp. 234-241, Orlando, FL, Apr. 2002.
[13] Q. Du and H. Ren, "Performance analysis for OSP and CEM," Proceedings of SPIE International Conference on Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII (part of Aerospace02), vol. 4725, pp. 501-508, Orlando, FL, Apr. 2002.
2001:
[12] Q. Du, "Real-time linear constrained discriminant analysis to hyperspectral imagery," Proceedings of SPIE International Conference on Multispectral Image Processing and Pattern Recognition, SPIE vol. 4548, pp. 103-108, Wuhan, China, Oct. 2001.
[11] C.-I Chang, H. Ren, Q. Du, and S. S. Chiang, "ROC analysis to hyperspectral image detection," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2355-2357, Sydney, Australia, Jul. 2001.
[10] Q. Du and C.-I Chang, "Hidden Markov model approaches to hyperspectral image classification," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2683-2685, Sydney, Australia, Jul. 2001.
[9] C.-I Chang, Q. Du, S. S. Chiang, and H. Ren, "Unsupervised subpixel detection and classification," Proceedings of SPIE International Conference on Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII (part of Aerospace01), SPIE vol. 4381, pp. 370-379, Orlando, FL, Apr. 2001.
[8] Q. Du and C.-I Chang, "An interference subspace projection approach to subpixel target detection," Proceedings of SPIE International Conference on Analysis and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VII (part of Aerospace01), SPIE vol. 4381, pp. 570-577, Orlando, FL, Apr. 2001.
2000:
[7] Q. Du, C.-I Chang, D. C. Heinz, M. L. G. Althouse, and I. W. Ginsberg, "Linear mixture model-based compression for hyperspectral image analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 585-587, Honolulu, HI, Jul. 2000.
[6] Q. Du and C.-I Chang, "Hidden Markov model-based spectral measure for hyperspectral image analysis," Proceedings of SPIE International Conference on Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI (part of Aerospace00), SPIE vol. 4049, pp. 375-385, Orlando, FL, Apr. 2000.
1999:
[5] C.-I Chang and Q. Du, "A noise subspace projection approach to determination of intrinsic dimensionality for hyperspectral imagery," Proceedings of European Symposium on Image and Signal Processing for Remote Sensing V, SPIE vol. 3871, pp. 34-44, Florence, Italy, Sep. 1999.
[4] Q. Du and C.-I Chang, "An interference rejection-based radial basis function neural network for hyperspectral image classification," Proceedings of International Joint Conference on Neural Networks, pp. 2698-2703, Washington DC, Jul. 1999.
[3] Q. Du and C.-I Chang, "A linear constrained Euclidean distance-based discriminant analysis for hyperspectral image classification," Proceedings of 33rd Conference on Information Sciences and System, pp. 546-550, Johns Hopkins University, Baltimore, MD, Mar. 1999.
1998:
[2] C.-I Chang and Q. Du, "Interference and noise adjusted principal components analysis," Proceedings of IEEE International Geoscience and Remote Sensing Symposium, pp. 2059-2061, Seattle, WA, Jul. 1998.
[1] Q. Du and C.-I Chang, "Hyperspectral image classification using radial basis function neural networks," Proceedings of 32nd Conference on Information Sciences and System, pp. 721-726, Princeton University, Princeton, NJ, Mar. 1998.