BOOK CHAPTERS

[9] G. Chi, Q. Du, and W. Li, "Hyperspectral and LiDAR data fusion,” in Advances in Hyperspectral Image Processing Techniques, C.-I Chang, Ed., Wiley, 2022 (ISBN: 9781119687764).

[8] S. Liu, F. Bovolo, L. Bruzzone, Q. Du, and X. Tong, "Unsupervised change detection in multitemporal remote sensing images," in Change Detection and Image Time Series Analysis 1: Unsupervised Methods, A. M. Atto, F. Bovolo, and L. Bruzzone, Ed., Wiley, 2021 (ISBN: 9781789450569).

[7] Q. Du, "Pixel unmixing," in Comprehensive Remote Sensing, S. Liang, Ed., Elsevier, 2017 (ISBN: 9780128032206).

[6] 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 (ISBN: 9781461411826).

[5] S. Cai, R. J. Moorhead, and Q. Du, "Layered approaches for visualizing hyperspectral data," in Optical Remote Sensing - Advances in Signal Processing and Exploitation Techniques, S. Prasad, L. M. Bruce, and J. Chanussot, Eds., Springer, 2011 (ISBN: 9783462142116).

[4] 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 (ISBN: 9783462142116).

[3] Q. Du, "Real-time Online Processing of Hyperspectral Imagery for Target Detection and Discrimination," in High-Performance Computing in Remote Sensing, A. J. Plaza and C. -I Chang, Eds., CRC Press, 2007. (ISBN: 1584886625)

[2] Q. Du, "Noise-Adjusted Principal Component Analysis and Its Application to Hyperspectral Image Analysis," in Recent Advances in Hyperspectral Signal and Image Processing, C.-I Chang, Ed., Research Signpost, 2006. (ISBN: 8178952181)

[1] B. Ramakrishna, A. J. Plaza, C.-I Chang, H. Ren, Q. Du, and C.-C. Chang, "Spectral/Spatial Hyperspectral Image Compression," in Hyperspectral Data Compression, G. Motta, F. Rizzo, and J. Storer, Eds., Springer, 2005. (ISBN: 0387285792)