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James E. Fowler — Publications

Book Chapters

• W. Zhu, Q. Du, and J. E. Fowler, “Hyperspectral Image Compression Using Segmented Principal Component Analysis,” in Satellite Data Compression, B. Huang, Ed., Springer, 2011, ch. 11, pp. 233-252.
• J. E. Fowler and Q. Du, “Reconstructions from Compressive Random Projections of Hyperspectral Imagery,” in Optical Remote Sensing: Advances in Signal Processing and Exploitation Techniques, S. Prasad, L. M. Bruce, and J. Chanussot, Eds. Springer, 2011, ch. 3, pp. 31-48.
• J. E. Fowler and J. T. Rucker, “3D Wavelet-Based Compression of Hyperspectral Imagery,” in Hyperspectral Data Exploitation: Theory and Applications, C.-I. Chang, Ed., chapter 14, pp. 379-407, John Wiley & Sons, Inc., Hoboken, NJ, 2007.
• R. Machiraju, J. E. Fowler, D. Thompson, B. Soni, and W. Schroeder, “EVITA - Efficient Visualization and Interrogation of Tera-Scale Data,” in Data Mining for Scientific and Engineering Applications, R. L. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. R. Namburu, Eds., chapter 15, pp. 257-279, Kluwer Academic Publishers, Norwell, MA, 2001.

Journal Articles

• Z. Ye, T. Sun, Z. Cao, L. Bai, and J. E. Fowler, “Few-Shot Learning Using Residual Channel Attention and Prototype Domain Adaptation for Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023.
• W. C. Karl, J. E. Fowler, C. A. Bouman, M. Çetin, B. Wohlberg, and J. C. Ye, “The Foundations of Computational Imaging,” IEEE Signal Processing Magazine, vol. 40, pp. 40-53, July 2023.
• Z. Ye, C. Li, Q. Liu, L. Bai, and J. E. Fowler, “Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network with Channel Attention,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023.
• Z. Ye, T. Sun, S. Shi, L. Bai, and J. E. Fowler, “Local-Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 20, 2023. Source code
• Z. Ye, C. Li, Q. Liu, L. Bai, and J. E. Fowler, “Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 4640-4652, 2022.
• N. Liu, L. Li, W. Li, R. Tao, J. E. Fowler, and J. Chanussot, “Hyperspectral Restoration and Fusion with Multispectral Imagery via Low-Rank Tensor-Approximation,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7817-7830, September 2021. Source code: Fixed-Basis LRTA (in Python); Original LRTA (in Matlab)
• J. Xu, J. E. Fowler, and L. Xiao, “Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial-Spectral Hyperspectral Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 5, pp. 871-875, May 2021.
• N. Liu, W. Li, R. Tao, and J. E. Fowler, “Wavelet-Domain Low-Rank/Group-Sparse Destriping for Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 12, pp. 10310-10321, December 2019.
• M. Lv, J. E. Fowler, and L. Jing, “Spatial Functional Data Analysis for the Spatial-Spectral Classification of Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 6, pp. 942-946, June 2019.
• Z. Ye, J. E. Fowler, and L. Bai, “Spatial-Spectral Hyperspectral Classification Using Local Binary Patterns and Markov Random Fields,” Journal of Applied Remote Sensing, vol. 11, no. 3, July 2017.
• J. E. Fowler, “Compression of Virtual-Machine Memory in Dynamic Malware Analysis,” Journal of Digital Forensics, Security and Law, vol. 12, no. 1, pp. 41-46, March 2017. Source code
• W. Liu, J. E. Fowler, and C. Zhao, “Spatial Logistic Regression for Support-Vector Classification of Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 3, pp. 439-443, March 2017.
• V. Menon, Q. Du, and J. E. Fowler, “Random Hadamard Projections for Hyperspectral Unmixing,” IEEE Geoscience and Remote Sensing Letters, vol. 14, no. 3, pp. 419-423, March 2017.
• V. Menon, Q. Du, and J. E. Fowler, “Fast SVD with Random Hadamard Projection for Hyperspectral Dimensionality Reduction,” IEEE Geoscience and Remote Sensing Letters, vol. 13, no. 9, pp. 1275-1279, September 2016.
• J. Wen, J. E. Fowler, M. He, Y. Zhao, C. Deng, and V. Menon, “Orthogonal Nonnegative Matrix Factorization Combining Multiple Features for Spectral-Spatial Dimensionality Reduction of Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 7, pp. 4272–4286, July 2016.
• M. Trocan, E. W. Tramel, J. E. Fowler, B. Pesquet-Popescu, “Compressed-Sensing Recovery of Multiview Image and Video Sequences Using Signal Prediction,” Multimedia Tools and Applications, vol. 72, no. 1, pp. 95-121, September 2014.
• N. H. Ly, Q. Du, and J. E. Fowler, “Sparse Graph-Based Discriminant Analysis for Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 7, pp. 3872-3884, July 2014.
• N. H. Ly, Q. Du, and J. E. Fowler, “Collaborative Graph-Based Discriminant Analysis for Hyperspectral Imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2688-2696, June 2014.
• Q. Du, N. Ly, and J. E. Fowler, “An Operational Approach to PCA+JPEG2000 Compression of Hyperspectral Imagery,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 6, pp. 2237-2245, June 2014.
• W. Li, S. Prasad, and J. E. Fowler, “Decision Fusion in Kernel-Induced Spaces for Hyperspectral Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 6, pp. 3399-3411, June 2014.
• C. Chen, W. Li, E. W. Tramel, M. Cui, S. Prasad, and J. E. Fowler, “Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 4, pp. 1047-1059, April 2014.
• W. Li, E.W. Tramel, S. Prasad, and J. E. Fowler, “Nearest Regularized Subspace for Hyperspectral Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 477-489, January 2014.
• C. Chen, W. Li, E. W. Tramel, and J. E. Fowler, “Reconstruction of Hyperspectral Imagery from Random Projections Using Multihypothesis Prediction,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 1, pp. 365-374, January 2014.
• Z. Ye, S. Prasad, W. Li, J. E. Fowler, and M. He, “Classification Based on 3-D DWT and Decision Fusion for Hyperspectral Image Analysis,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 173-177, January 2014.
• W. Li, S. Prasad, and J. E. Fowler, “Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 153-157, January 2014.
• S. Prasad, M. Cui, W. Li, and J. E. Fowler, “Segmented Mixture-of-Gaussian Classification for Hyperspectral Image Analysis,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 138-142, January 2014.
• W. Li, S. Prasad, and J. E. Fowler, “Integration of Spectral-Spatial Information for Hyperspectral Image Reconstruction from Compressive Random Projections,” IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 6, pp. 1379-1383, November 2013.
• W. Li, S. Prasad, and J. E. Fowler, “Noise-Adjusted Subspace Discriminant Analysis for Hyperspectral-Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 6, pp. 1374-1378, November 2013.
• N. H. Ly, Q. Du, and J. E. Fowler, “Reconstruction from Random Projections of Hyperspectral Imagery with Spectral and Spatial Partitioning,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 466-472, April 2013.
• W. Li, S. Prasad, and J. E. Fowler, “Classification and Reconstruction from Random Projections for Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 2, pp. 833-843, February 2013.
• S. Prasad, W. Li, J. E. Fowler, and L. M. Bruce, “Information Fusion in the Redundant-Wavelet-Tranform Domain for Noise-Robust Hyperspectral Classification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3474-3486, September 2012.
• W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, “Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis,” IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 4, pp. 1185-1198, April 2012.
• J. E. Fowler, S. Mun, and E. W. Tramel, “Block-Based Compressed Sensing of Images and Video,” Foundations and Trends in Signal Processing, vol. 4, no. 4, pp. 297-416, March 2012. Source code
• J. E. Fowler and Q. Du, “Anomaly Detection and Reconstruction from Random Projections,” IEEE Transactions on Image Processing, vol. 21, no. 1, pp. 184-195, January 2012. Source code
• W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, “Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification,” IEEE Geoscience and Remote Sensing Letters, vol. 8, pp. 894-898, September 2011.
• W. Zhu, Q. Du, and J. E. Fowler, “Multi-Temporal Hyperspectral Image Compression,” IEEE Geoscience and Remote Sensing Letters, vol. 8, pp. 416-420, May 2011.
• Q. Du, W. Zhu, H. Yang, and J. E. Fowler, “Segmented Principal Component Analysis for Parallel Compression of Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 6, pp. 713-717, October 2009.
• J. E. Fowler, “Compressive-Projection Principal Component Analysis,” IEEE Transactions on Image Processing, vol. 18, pp. 2230-2242, October 2009. Source code
• Q. Du, J. E. Fowler, and W. Zhu, “On the Impact of Atmospheric Correction on Lossy Compression of Multispectral and Hyperspectral Imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 47, pp. 130-132, January 2009.
• Q. Du and J. E. Fowler, “Low-Complexity Principal Component Analysis for Hyperspectral Image Compression,” International Journal of High Performance Computing Applications, vol. 22, pp. 438-448, November 2008.
• J. Zhang, J. E. Fowler, and G. Liu, “Lossy-to-Lossless Compression of Hyperspectral Imagery Using Three-Dimensional TCE and an Integer KLT,” IEEE Geoscience and Remote Sensing Letters, vol. 5, pp. 814-818, October 2008.
• Q. Du, W. Zhu, and J. E. Fowler, “Anomaly-Based JPEG2000 Compression of Hyperspectral Imagery,” IEEE Geoscience and Remote Sensing Letters, vol. 5, pp. 696-700, October 2008.
• J. B. Boettcher and J. E. Fowler, “Video Coding Using a Complex Wavelet Transform and Set Partitioning,” IEEE Signal Processing Letters, vol. 14, pp. 633-636, September 2007.
• G. Feideropoulou, M. Trocan, J. E. Fowler, B. Pesquet-Popescu, and J.-C. Belfiore, “Rotated Constellations for Video Transmission over Rayleigh Fading Channels,” IEEE Signal Processing Letters, vol. 14, pp. 629-632, September 2007.
• Q. Du and J. E. Fowler, “Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis,” IEEE Geoscience and Remote Sensing Letters, vol. 4, pp. 201-205, April 2007. Source code
• J. E. Fowler and B. Pesquet-Popescu, “Wavelets in Source Coding, Communications, and Networks: An Overview,” EURASIP Journal on Image and Video Processing, vol. 2007, Article ID 60539, 27 pages, 2007.
• J. E. Fowler, S. Cui, and Y. Wang, “Motion Compensation Via Redundant-Wavelet Multihypothesis,” IEEE Transactions on Image Processing, vol. 15, pp. 3102-3113, October 2006.
• S. Cui, Y. Wang, and J. E. Fowler, “Motion Estimation and Compensation in the Redundant-Wavelet Domain Using Triangle Meshes,” Signal Processing: Image Communication, vol. 21, pp. 586-598, August 2006.
• G. Feideropoulou, M. Trocan, J. E. Fowler, B. Pesquet-Popescu, and J.-C. Belfiore, “Joint Source-Channel with Partially Coded Index Assignment for Robust Scalable Video,” IEEE Signal Processing Letters, vol. 13, pp. 201-204, April 2006.
• Y. Wang, S. Cui, and J. E. Fowler, “3-D Video Coding with Redundant-Wavelet Multihypothesis,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 16, pp. 166-177, February 2006.
• J. E. Fowler, “The Redundant Discrete Wavelet Transform and Additive Noise,” IEEE Signal Processing Letters, vol. 12, pp. 629-632, September 2005.
• L. Hua and J. E. Fowler, “Wavelet-Based Coding of Time-Varying Vector Fields of Ocean-Surface Winds,” IEEE Transactions on Geoscience and Remote Sensing, vol. 42, pp. 1283-1290, June 2004.
  2005 Bagley College of Engineering Outstanding Research Paper
• Y. Wang, J. T. Rucker, and J. E. Fowler, “Three-Dimensional Tarp Coding for the Compression of Hyperspectral Images,” IEEE Geoscience and Remote Sensing Letters, vol. 1, pp. 136-140, April 2004.
• J. E. Fowler, “Embedded Wavelet-Based Image Compression: State of the Art (Eingebettete Wavelet-basierte Bildkompression: Stand der Technik),” Information Technology, vol. 25, pp. 256-262, September-October 2003.
• J. E. Fowler and L. Hua, “Wavelet Transforms for Vector Fields Using Omnidirectionally Balanced Multiwavelets,” IEEE Transactions on Signal Processing, vol. 50, pp. 3018-3027, December 2002.
  2003 Bagley College of Engineering Outstanding Research Paper
• J. E. Fowler and D. N. Fox, “Embedded Wavelet-Based Coding of Three-Dimensional Oceanographic Images With Land Masses,” IEEE Transactions on Geoscience and Remote Sensing, vol. 39, pp. 284-290, February 2001.
• J. E. Fowler, “Adaptive Vector Quantization for Efficient Zerotree-Based Coding of Video with Nonstationary Statistics,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 10, pp. 1478-1488, December 2000.
• J. E. Fowler, “Generalized Threshold Replenishment: An Adaptive Vector Quantization Algorithm for the Coding of Nonstationary Sources,” IEEE Transactions on Image Processing, vol. 7, pp. 1410-1424, October 1998.
  1999 Bagley College of Engineering Outstanding Research Paper
• J. E. Fowler, K. C. Adkins, S. B. Bibyk, and S. C. Ahalt, “Real-Time Video Compression Using Differential Vector Quantization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 5, pp. 14-24, February 1995.
• J. E. Fowler, M. R. Carbonara, and S. C. Ahalt, “Image Coding Using Differential Vector Quantization,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, pp. 350-367, October 1993.
• C. Mills, S. C. Ahalt, and J. Fowler, “Compiled Instruction Set Simulation,” Software—Practice and Experience, vol. 21, pp. 877-889, August 1991.

Conference Papers

• Z. M. Fowler, A. Miguel, and J. E. Fowler, “Multiresolution DECOLOR for Camouflaged Moving Foreground Detection Using a Redundant Wavelet Transform,” in Proc. IS&T Int'l. Symp. on Electronic Imaging: Computational Imaging, San Jose, CA, January 2022, pp. 229-1–229-5.
• N. Liu, W. Li, R. Tao, J. E. Fowler, and L. Yang, “Hyperspectral Stripes Removal with Wavelet-Domain Low-Rank/Group-Sparse Decomposition,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Amsterdam, Netherlands, September 2019.
  WHISPERS 2019 Outstanding Paper Award
• J. E. Fowler, “Compression of Virtual-Machine Memory in Dynamic Malware Analysis,” in Proceedings of the International Conference on Systematic Approaches to Digital Forensic Engineering, Kyoto, Japan, September, 2016, pp. 31-38. Source code
• V. Menon, Q. Du, and J. E. Fowler, “Random Projection Based Nonnegative Least Squares for Hyperspectral Image Unmixing,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Los Angeles, CA, August 2016.
• V. Menon, Q. Du, and J. E. Fowler, “Hadamard-Walsh Random Projection for Hyperspectral Image Classification,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Beijing, China, July 2016, pp. 5141-5144.
• V. Menon, S. Prasad, and J. E. Fowler, “Hyperspectral Classification Using a Composite Kernel Driven by Nearest-Neighbor Spatial Features,” in Proceedings of the International Conference on Image Processing, Québec City, Canada, September 2015, pp. 2100-2104.
• J. E. Fowler, “Decentralized Reconstruction from Compressive Random Projections Driven by Principal Components,” in Proceedings of the European Signal Processing Conference, Nice, France, September 2015, pp. 2202-2206. Source code
• S. Prasad, H. Wu, J. E. Fowler, “Compressive Data Fusion for Multi-Sensor Image Analysis,” in Proceedings of the IEEE International Conference on Image Processing, Paris, France, October 2014, pp. 5032-5036.
• J. E. Fowler, “Compressive Pushbroom and Whiskbroom Sensing for Hyperspectral Remote-Sensing Imaging,” in Proceedings of the IEEE International Conference on Image Processing, Paris, France, October 2014, pp. 684-688.
• W. Li, S. Prasad, E. W. Tramel, J. E. Fowler, and Q. Du, “Decision Fusion for Hyperspectral Image Classification Based on Minimum-Distance Classifiers in the Wavelet Domain,” in Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, Xi'an, China, July 2014, pp. 162-165.
• Z. Ye, M. He, J. E. Fowler, and Q. Du, “Hyperspectral Image Classification Based on Spectra Derivative Features and Locality Preserving Analysis,” in Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, Xi'an, China, July 2014, pp. 138-142.
• N. Ly, Q. Du, J. E. Fowler, and N. Younan, “Dimensionality Reduction of Hyperspectral Imagery with Sparse and Collaborative Graphs,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lausanne, Switzerland, June 2014, to appear.
  Best Paper Award
• S. Mun and J. E. Fowler, “Motion-Compensated Compressed-Sensing Reconstruction for Dynamic MRI,” in Proceedings of the IEEE International Conference on Image Processing, Melbourne, Australia, September 2013, pp. 1006-1010.
• Z. Ye, M. He, S. Prasad, and J. E. Fowler, “A Multiclassifier and Decision Fusion System for Hyperspectral Image Classification,” in Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications, Melbourne, Australia, June 2013, pp. 501-505.
• N. Ly, Q. Du, and J. E. Fowler, “Noise-Adjusted Sparsity-Preserving-Based Dimensionality Reduction for Hyperspectral Image Classification,” in Proceedings of the IAPR Workshop on Pattern Recognition in Remote Sensing, Tsukuba, Japan, November 2012, pp. 1–4.
• C. Chen and J. E. Fowler, “Single-Image Super-Resolution Using Multihypothesis Prediction,” in Proceedings of the 46th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2012, pp. 608-612.
• S. Mun and J. E. Fowler, “DPCM for Quantized Block-Based Compressed Sensing of Images,” in Proceedings of the European Signal Processing Conference, Bucharest, Romania, August 2012, pp. 1424-1428. Source code
• Q. Du, N. Ly, and J. E. Fowler, “An Operational Approach for Hyperspectral Image Compression,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012, pp. 1357-1360.
• W. Li, S. Prasad, J. E. Fowler, and M. Cui, “Locality-Preserving Nonnegative Matrix Factorization for Hyperspectral Image Classification,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012, pp. 1405-1408.
• W. Li, S. Prasad, Z. Ye, J. E. Fowler, and M. Cui, “Locality-Preserving Discriminant Analysis for Hyperspectral Image Classification Using Local Spatial Information,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, July 2012, pp. 4134-4137.
• Z. Ye, S. Prasad, W. Li, J. E. Fowler, and M. He, “Locality-Preserving Discriminant Analysis and Gaussian Mixture Models For Spectral-Spatial Classification Of Hyperspectral Imagery,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
• W. Li, S. Prasad, J. E. Fowler, and Q. Du, “Noise-Adjusted Subspace Linear Discriminant Analysis For Hyperspectral-Image Classification,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Shanghai, China, June 2012.
• C. Chen, E. W. Tramel, and J. E. Fowler, “Compressed-Sensing Recovery of Images and Video Using Multihypothesis Predictions,” in Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2011, pp. 1193-1198. Source code
• W. Li and J. E. Fowler, “Decoder-Side Dimensionality Determination for Compressive-Projection Principal Component Analysis of Hyperspectral Data,” in Proceedings of the IEEE International Conference on Image Processing, Brussels, Belgium, September 2011, pp. 329-332. Source code
• J. E. Fowler, S. Mun, and E. W. Tramel, “Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction,” in Proceedings of the European Signal Processing Conference, Barcelona, Spain, August 2011, pp. 564-568. Source code
• Q. Du, J. E. Fowler, and B. Ma, “Random-Projection-based Dimensionality Reduction and Decision Fusion for Hyperspectral Target Detection,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Vancouver, Canada, July 2011, pp. 1790-1793.
• W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, “Class Dependent Compressive-Projection Principal Component Analysis for Hyperspectral Image Reconstruction,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lisbon, Portugal, June 2011.
• W. Li, S. Prasad, J. E. Fowler, and L. M. Bruce, “A Multi-Modal Pattern Classification Framework for Hyperspectral Image Analysis,” in Proceedings of the Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, Lisbon, Portugal, June 2011.
• E. W. Tramel and J. E. Fowler, “Video Compressed Sensing with Multihypothesis,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2011, pp. 193-202.
• S. Mun and J. E. Fowler, “Residual Reconstruction for Block-Based Compressed Sensing of Video,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2011, pp. 183-192. Source code
• M. Trocan, T. Maugey, E. W. Tramel, J. E. Fowler, and B. Pesquet-Popescu, “Multistage Compressed-Sensing Reconstruction of Multiview Images,” in Proceedings of the International Workshop on Multimedia Signal Processing, Saint-Malo, France, October 2010, pp. 111-115. Source code
• M. Trocan, T. Maugey, E. W. Tramel, J. E. Fowler, and B. Pesquet-Popescu, “Compressed Sensing of Multiview Images Using Disparity Compensation,” in Proceedings of the IEEE International Conference on Image Processing, Hong Kong, September 2010, pp. 3345-3348. Source code
• Q. Du and J. E. Fowler, “On the Performance of Random-Projection-Based Dimensionality Reduction for Endmember Extraction,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, HI, July 2010, pp. 1277-1280.
• M. Trocan, T. Maugey, J. E. Fowler, and B. Pesquet-Popescu, “Disparity-Compensated Compressed-Sensing Reconstruction for Multiview Images,” in Proceedings of the IEEE International Conference on Multimedia and Expo, Singapore, July 2010, pp. 1225-1229. Source code
• S. Mun and J. E. Fowler, “Block Compressed Sensing of Images Using Directional Transforms,” in Proceedings of the IEEE International Conference on Image Processing, Cairo, Egypt, November 2009, pp. 3021-3024. Source code
• W. Zhu, Q. Du, and J. E. Fowler, “Segmented Principal Component Analysis for Hyperspectral Image Compression,” in Satellite Data Compression, Communications, and Processing V, B. Huang, A. J. Plaza, R. Vitulli, Eds. Boston, MA: Proc. SPIE 7455, August 2009, pp. 74550I.
• M. Trocan, B. Pesquet-Popescu, J. E. Fowler, and C. Yaacoub, “Block-Based Graph-Cut Rate Allocation for Subband Image Compression and Transmission Over Wireless Networks,” in Proceedings of the 5th International Mobile Multimedia Communications Conference, London, UK, September 2009, pp. 1-6.
• J. E. Fowler, Q. Du, W. Zhu, and N. H. Younan, “Classification Performance of Random-Projection-Based Dimensionality Reduction of Hyperspectral Imagery,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Capetown, South Africa, July 2009, vol. 5, pp. 76-79.
• J. Zhang, J. E. Fowler, N. H. Younan, and G. Liu, “Evaluation of JP3D for Lossy and Lossless Compression of Hyperspectral Imagery,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Capetown, South Africa, July 2009, vol. 4, pp. 474-477.
• J. E. Fowler, “Compressive-Projection Principal Component Analysis and the First Eigenvector,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2009, pp. 223-232. Source code
• H. Yang, Q. Du, W. Zhu, I. Banicescu, and J. E. Fowler, “Parallel Data Compression for Hyperspectral Imagery,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 2008, vol. 2, pp. 986-989.
• Q. Du, W. Zhu, and J. E. Fowler, “Anomaly-Based Hyperspectral Image Compression,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 2008, vol. 2, pp. 974-977.
• J. Zhang, J. E. Fowler, Q. Du, and G. Liu, “Improvements to 3D-Tarp Coding for the Compression of Hyperspectral Imagery,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Boston, MA, July 2008, vol. 2, pp. 982-985.
• J. E. Fowler, “Compressive-Projection Principal Component Analysis for the Compression of Hyperspectral Signatures,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2008, pp. 83-92. Source code
• Q. Du, W. Zhu, and J. E. Fowler, “Implementation of Low-Complexity Principal Component Analysis for Remotely Sensed Hyperspectral-Image Compression,” in Proceedings of the IEEE Workshop on Signal Processing Systems, Shanghai, China, October 2007, pp. 307-312.
• M. Trocan, B. Pesquet-Popescu, and J. E. Fowler, “Graph-Cut Rate Distortion Algorithm for Contourlet-Based Image Compression,” in Proceedings of the IEEE International Conference on Image Processing, San Antonio, TX, September 2007, vol. 3, pp. 169-172.
• J. E. Fowler, J. B. Boettcher, and B. Pesquet-Popescu, “Image Coding Using a Complex Dual-Tree Wavelet Transform,” in Proceedings of the European Signal Processing Conference, Poznan, Poland, September 2007.
• J. B. Boettcher, Q. Du, and J. E. Fowler, “Hyperspectral Image Compression with the 3D Dual-Tree Wavelet Transform,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, July 2007, pp. 1033-1036.
• H. Tamhankar and J. E. Fowler, “Spectral-Decorrelation Strategies for the Compression of Hyperspectral Imagery,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, July 2007, pp. 1041-1044.
• R. J. Vickery, A. Cedilnik, J.Martin, J. E. Fowler, R.Moorhead, Y. Dandass, T. Atkison, P. Adams, and J. Clarke, “Web-Based High Performance Remote Visualization,” in Proceedings of the HPCMP Users Group Conference, Pittsburgh, PA, June 2007, to appear.
• J. T. Rucker and J. E. Fowler, “Shape-Adaptive Embedded Coding of Ocean-Temperature Imagery,” in Proceedings of the 40th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2006, pp. 1887-1891.
• J. E. Fowler, M. Tagliasacchi, and B. Pesquet-Popescu, “Video Coding with Wavelet-Domain Conditional Replenishment and Unequal Error Protection,” in Proceedings of the IEEE International Conference on Image Processing, Atlanta, GA, October 2006, vol. 2, pp. 1869-1872.
• V. P. Shah, J. E. Fowler, and N. H. Younan, “Tarp Filtering of Block-Transform Coefficients for Embedded Image Coding,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006, vol. 2, pp. 21-24.
• J. E. Fowler, “Analysis of Redundant-Wavelet Multihypothesis for Motion Compensation,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 2006, pp. 352-361.
• G. Feideropoulou, J. E. Fowler, B. Pesquet-Popescu, and J.-C. Belfiore, “Joint Source-Channel Coding of Scalable Video with Partially Coded Index Assignment Using Reed-Muller Codes,” in Proceedings of the IEEE International Conference on Image Processing, Genoa, Italy, September 2005, vol. 3, pp. 888-891.
• J. B. Boettcher and J. E. Fowler, “Video Coding with MC-EZBC and Redundant-Wavelet Multihypothesis,” in Proceedings of the IEEE International Conference on Image Processing, Genoa, Italy, September 2005, vol. 3, pp. 229-232.
• K. M. Parker and J. E. Fowler, “Redundant-Wavelet Watermarking with Pixel-Wise Masking,” in Proceedings of the IEEE International Conference on Image Processing, Genoa, Italy, September 2005, vol. 1, pp. 685-688.
• J. E. Fowler, M. Tagliasacchi, and B. Pesquet-Popescu, “Wavelet-Based Distributed Source Coding of Video,” in Proceedings of the European Signal Processing Conference, Antalya, Turkey, September 2005.
• S. Cui, Y. Wang, and J. E. Fowler, “Explore the Multihypothesis Motion Compensation in Video Coding,” in Multimedia Systems and Applications VIII, A. Vetro, C. W. Chen, C.-C. J. Kuo, T. Zhang, Q. Tian, and J. R. Smith, Eds. Boston, MA: Proc. SPIE 6015, October 2005, pp. 60150A-1 - 60150A-10.
• S. Cui, Y. Wang, and J. E. Fowler, “Combining Phase-Diversity with Spatial-Diversity Multihypothesis Motion Compensation,” in Proceedings of the Midwest Symposium on Circuits and Systems, vol. 2, Cincinnati, OH, August 2005, pp. 1545-1548.
• J. T. Rucker, J. E. Fowler, and N. H. Younan, “JPEG2000 Coding Strategies for Hyperspectral Data,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Seoul, South Korea, July 2005, vol. 1, pp. 128-131.
• J. E. Fowler, “Shape-Adaptive Coding Using Binary Set Splitting with k-d Trees,” in Proceedings of the IEEE International Conference on Image Processing, Singapore, October 2004, vol. 2, pp. 1301-1304.
• J. T. Rucker and J. E. Fowler, “Coding of Ocean-Temperature Volumes Using Binary Set Splitting with k-d Trees,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Anchorage, AK, September 2004, vol. 1, pp. 289-292.
• S. B. Ziegeler, H. Tamhankar, J. E. Fowler, and L. M. Bruce, “Wavelet-Based Watermarking of Remotely Sensed Imagery Tailored to Classification Performance,” in Proceedings of the IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, Washington, DC, October 2003, pp. 259-263.
• Y. Wang, S. Cui, and J. E. Fowler, “3D Video Coding Using Redundant-Wavelet Multihypothesis and Motion-Compensated Temporal Filtering,” in Proceedings of the IEEE International Conference on Image Processing, Barcelona, Spain, September 2003, vol. 2, pp. 755-758.
• S. Cui, Y. Wang, and J. E. Fowler, “Multihypothesis Motion Compensation in the Redundant Wavelet Domain,” in Proceedings of the IEEE International Conference on Image Processing, Barcelona, Spain, September 2003, vol. 2, pp. 53-56.
• J. E. Fowler, “Shape-Adaptive Tarp Coding,” in Proceedings of the IEEE International Conference on Image Processing, Barcelona, Spain, September 2003, vol. 1, pp. 621-624.
• Y. Wang, J. T. Rucker, and J. E. Fowler, “Embedded Wavelet-Based Compression of Hyperspectral Imagery Using Tarp Coding,” in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, July 2003, vol. 3, pp. 2027-2029.
• M. Marka and J. E. Fowler, “Unequal Error Protection of Embedded Multimedia Objects for Packet-Erasure Channels,” in Proceedings of the International Workshop on Multimedia Signal Processing, St. Thomas, US Virgin Islands, December 2002, pp. 61-64.
• S. Cui, Y. Wang, and J. E. Fowler, “Mesh-Based Motion Estimation and Compensation in the Wavelet Domain Using a Redundant Transform,” in Proceedings of the IEEE International Conference on Image Processing, Rochester, NY, September 2002, vol. 1, pp. 693-696.
• L. Hua and J. E. Fowler, “A Performance Analysis of Spread-Spectrum Watermarking Based on Redundant Transforms,” in Proceedings of the IEEE International Conference on Multimedia and Expo, Lausanne, Switzerland, August 2002, vol. 2, pp. 553-556.
• J. E. Fowler and L. Hua, “Omnidirectionally Balanced Multiwavelets for Vector Wavelet Transforms,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, April 2002, pp. 422-431.
• J. E. Fowler and Y. Wang, “Joint Embedded Coding of Data and Grid Using First-Generation Wavelet Transforms,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, April 2002, pp. 432-441.
• J.-G. Cao, J. E. Fowler, and N. H. Younan, “An Image-Adaptive Watermark Based on a Redundant Wavelet Transform,” in Proceedings of the IEEE International Conference on Image Processing, Thessaloniki, Greece, October 2001, vol. 2, pp. 277-280.
• T. Chu, J. E. Fowler, and R. J. Moorhead II, “Evaluation and Extension of SGI Vizserver,” in Visualization of Temporal and Spatial Data for Civilian and Defense Applications III, G. O. Allgood and N. L. Faust, Eds., Orlando, FL, April 2001, Proc. SPIE 4368, pp. 63-73.
• J. E. Fowler and D. N. Fox, “Wavelet-Based Coding of Three-Dimensional Oceanographic Images Around Land Masses,” in Proceedings of the IEEE International Conference on Image Processing, Vancouver, Canada, September 2000, vol. 2, pp. 431-434.
• J. E. Fowler, “QccPack: An Open-Source Software Library for Quantization, Compression, and Coding,” in Applications of Digital Image Processing XXIII, A. G. Tescher, Ed., San Diego, CA, August 2000, Proc. SPIE 4115, pp. 294-301. PDF, QccPack website
• J. E. Fowler, “Video Coding Using Perceptually Weighted Vector Zerotrees and Adaptive Vector Quantization,” in Proceedings of the IEEE International Conference on Image Processing, Chicago, IL, October 1998, vol. 1, pp. 117-121.
• J. E. Fowler and S. C. Ahalt, “Adaptive Vector Quantization Using Generalized Threshold Replenishment,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1997, pp. 317-326.
• J. E. Fowler and S. C. Ahalt, “Adaptive Vector Quantization of Image Sequences Using Generalized Threshold Replenishment,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Munich, Germany, April 1997, vol. 4, pp. 3085-3088.
• J. E. Fowler and S. C. Ahalt, “Image-Sequence Coding with Generalized Threshold Replenishment - A New Algorithm For Adaptive Vector Quantization,” in Visual Information Processing VI, S. K. Park and R. D. Juday, Eds., April 1997, Proc. SPIE 3074, pp. 64-71.
• A. S. Galanopoulos, J. E. Fowler, and S. C. Ahalt, “Vector Quantization using Artificial Neural Network Models,” in Proceedings of the 7th Tyrrhenian International Workshop on Digital Communications, E. Biglieri and M. Luise, Eds., Viareggio, Italy, September 1995, pp. 346-357.
• J. E. Fowler and S. C. Ahalt, “Differential Vector Quantization of Real-Time Video,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1994, pp. 205-214.
• S. C. Ahalt and J. E. Fowler, “Real-time Video Compression Using Entropy-biased ANN Codebooks,” in Applications of Artificial Neural Networks V, S. K. Rogers and D. W. Ruck, Eds., Orlando, FL, April 1994, Proc. SPIE 2243, pp. 254-265.
• J. E. Fowler, K. C. Adkins, S. B. Bibyk, and S. C. Ahalt, “Differential Vector Quantization of Real-Time Video Using Entropy-biased ANN Codebooks,” in Proceedings of the IEEE International Conference on Neural Networks, Orlando, FL, June 1994, vol. 3, pp. 1871-1876.
• J. E. Fowler and R. Yagel, “Lossless Compression of Volume Data,” in Proceedings of the 1994 Symposium on Volume Visualization, Washington, DC, October 1994, pp. 43-53.
• S. C. Ahalt and J. E. Fowler, “Vector Quantization using Artificial Neural Network Models,” in Proceedings of the International Workshop on Adaptive Methods and Emergent Techniques for Signal Processing and Communications, D. Docampo and A. R. Figueras, Eds., Bayona, Spain, June 1993, pp. 42-61.
• J. E. Fowler and S. C. Ahalt, “Robust, Variable Bit-rate Coding Using Entropy-biased Codebooks,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1993, pp. 361-370.
• J. E. Fowler and S. C. Ahalt, “Robust, High-fidelity Coding Technique Based on Entropy-biased ANN Codebooks,” in Science of Artificial Neural Networks II, D. W. Ruck, Ed., Orlando, FL, April 1993, Proc. SPIE 1966, pp. 109-117.
• M. R. Carbonara, J. E. Fowler, and S. C. Ahalt, “Compression of Digital Video Data Using Artificial Neural Network Differential Vector Quantization,” in Applications of Artificial Neural Networks III, S. K. Rogers, Ed., April 1992, Proc. SPIE 1709, pp. 422-433.

Poster Presentations

• J. E. Fowler, “Delta Encoding of Virtual-Machine Memory in the Dynamic Analysis of Malware,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2016, p. 592, poster presentation. Source code
• S. Mun and J. E. Fowler, “Block Compressed Sensing of Images Using Directional Transforms,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2010, p. 547, poster presentation. Source code
• J. B. Boettcher and J. E. Fowler, “A Modified BISK Algorithm for 3D Dual-Tree Wavelet Transform Coding,” in Proceedings of the Data Compression Conference, J. A. Storer and M. W. Marcellin, Eds., Snowbird, UT, March 2007, p. 377, poster presentation.
• J. E. Fowler, “QccPack: An Open-Source Software Library for Quantization, Compression, and Coding,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 2000, p. 554, poster presentation. QccPack website
• J. E. Fowler, “Video Coding Using Vector Zerotrees and Adaptive Vector Quantization,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1998, p. 548, poster presentation.
• J. E. Fowler, “Adaptive Vector Quantization---Part I: A Unifying Structure,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1997, p. 437, poster presentation.
• J. E. Fowler, “Adaptive Vector Quantization---Part II: Classification and Comparison of Algorithms,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1997, p. 438, poster presentation.
• J. E. Fowler and R. Yagel, “Optimal Linear Prediction for the Lossless Compression of Volume Data,” in Proceedings of the Data Compression Conference, J. A. Storer and M. Cohn, Eds., Snowbird, UT, March 1995, p. 458 poster presentation.
• J. E. Fowler and S. C. Ahalt, “Variable Bit-rate Coding Using Entropy-biased ANN Codebooks,” presented at the NASA Space Communications Symposium, Cleveland, OH, 1992.

Technical Reports

• J. D. Madsen, C. Abbott, R. Brown, L. Bruce, J. Byrd, E. Dibble, G. Ervin, J. Fowler, V. Maddox, D. McBride, D. Shaw, and R. Westbrooks, “Research to Support Integrated Management Systems of Aquatic and Terrestrial Invasive Species,” Tech. Rep. GRI 5004, GeoResource Institute, Mississippi State University, May 2006.
• J. E. Fowler, “An Implementation of PRISM Using QccPack,” Tech. Rep. MSSU-COE-ERC-05-01, Mississippi State ERC, Mississippi State University, January 2005.
• J. E. Fowler, “The Redundant Discrete Wavelet Transform and Additive Noise,” Tech. Rep. MSSU-COE-ERC-04-04, Mississippi State ERC, Mississippi State University, March 2004.
• L. Hua and J. E. Fowler, “Technical Details on a Family of Omnidirectionally Balanced Symmetric-Antisymmetric Multiwavelets,” Tech. Rep. MSSU-COE-ERC-02-08, Engineering Research Center, Mississippi State University, May 2002. Source code
• M. Marka and J. E. Fowler, “Object-Based Unequal Error Protection,” Tech. Rep. MSSU-COE-ERC-02-01, Engineering Research Center, Mississippi State University, February 2002.
• L. Hua and J. E. Fowler, “RDWT and Image Watermarking,” Tech. Rep. MSSU-COE-ERC-01-18, Engineering Research Center, Mississippi State University, December 2001.
• R. Machiraju, J. E. Fowler, D. Thompson, W. Schroeder, and B. Soni, “EVITA: A Prototype System for Efficient Visualization and Interrogation of Terascale Datasets,” Tech. Rep. MSSU-COE-ERC-01-02, Engineering Research Center, Mississippi State University, November 2000.
• J. E. Fowler, “Evaluation of SGI Vizserver,” Tech. Rep. MSSU-COE-ERC-01-01, Engineering Research Center, Mississippi State University, March 2000.
• J. E. Fowler, J. van der Zwaag, S. Tenginakai, R. Machiraju, and R. J. Moorhead, “Decoding of Large Terrains Using a Hardware Rendering Pipeline,” Tech. Rep. MSSU-COE-ERC-00-13, Engineering Research Center, Mississippi State University, 2000.

Ph.D. Dissertation

• J. E. Fowler, “Adaptive Vector Quantization for the Coding of Nonstationary Sources,” Ph.D. dissertation, The Ohio State University, 1996.

Master's Thesis

• J. E. Fowler, “An Algorithm for Image Compression Using Differential Vector Quantization,” Master's thesis, The Ohio State University, 1992.

Other Publications

• J. E. Fowler, “Mathematics of digital images: Creation, compression, restoration, recognition (S. G. Hoggar),” IEEE Signal Processing Magazine, vol. 25, no. 4, pp. 128-129, July 2008, book review.
• J. E. Fowler, “Avoiding Plagiarism: A Student Survival Guide,” Mississippi State University, November 1998.