Hyperspectral Image Processing

A. Gogna, A. Shukla, H. Agarwal, A. Majumda, “Split Bregman Algorithms for Sparse /Joint-sparse and Low-rank Signal Recovery: Application  in Compressive Hyperspectral Imaging”, IEEE International Conference on Image Processing, ICIP 2014, September 2014.

W. Wei, L. Zhang, Y. Zhang, C. Wang, C. Tian, "Hyperspectral image denoising from an incomplete observation", International Conference on Orange Technologies, ICOT 2015, Hong Kong, Hong Kong, pages  177-180, 2015

Y. Chen, Y. Guo, Y. Wang, D. Wang, C. Peng, G. He, "Denoising of Hyperspectral Images using Nonconvex Low Rank Matrix Approximation", IEEE Transactions on Geoscience and Remote Sensing, Volume 55, No. 9, pages 5366-5380, September 2017.

W. He, H. Zhang, H. Shen, L. Zhang, "Hyperspectral Image Denoising using Local Low-Rank Matrix Recovery and Global Spatial–Spectral Total Variation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume 11, No. 3, pages 713-729, March 2018.

Y. Gao, H. Yan, L. Zhang, R. Xi, Y. Zhang and W. Wei, "Matrix decomposition based salient object detection in hyperspectral imagery" International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, ICNC-FSKD 2017, pages 574-577, Guilin, China, 2017.

S. Rambhatla, X. Li, J. Haupt, "Target-based hyperspectral demixing via generalized robust PCA", Asilomar Conference on Signals, Systems, and Computers, pages 420-424, 2017.

D. Hong, X. Zhu, “SULoRA: Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis”, IEEE Journal of Selected Topics in Signal Processing, December 2018.  

X. Song, H. Li, L. Pan, Y. Deng, P. Zhang, L. You, Q. Du,  "Unsupervised Robust Projection Learning by Low-Rank and Sparse Decomposition for Hyperspectral Feature Extraction",  IEEE Geoscience and Remote Sensing Letters, 2021.

Y. Liu, Q. Zhang, Y. Chen, Q. Cheng, C. Peng "Hyperspectral Image Denoising with Log-Based Robust PCA", Preprint, May 2021.

J. Wang, L. Zhang, R. Son, C. Huang, D. Zhang, S. Liu, Y. Liu, “A fast hyperspectral change detection algorithm for agricultural crops based on low-rank matrix and morphological feature extraction”, Frontiers in Sustainable Foods, March 2024.