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Non-local sparse representation for hyperspectral image super-resolution.

, , and . ICIP, page 2832-2835. IEEE, (2016)

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Hyperspectral image denoising with multiscale low-rank matrix recovery., , and . IGARSS, page 5442-5445. IEEE, (2017)Semi-Tensor Compressed Sensing for Hyperspectral Image., and . IGARSS, page 2737-2740. IEEE, (2018)Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations., , , and . IGARSS, page 4003-4006. IEEE, (2018)3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography., , , , and . IEEE Trans. Med. Imaging, 34 (6): 1306-1320 (2015)A Support Vector Machine Ensemble for Cancer Classification Using Gene Expression Data., and . ISBRA, volume 4463 of Lecture Notes in Computer Science, page 488-495. Springer, (2007)Graph embedding based feature selection., , and . Neurocomputing, (2012)Multi-modal Image Fusion with KNN Matting., , , and . CCPR (2), volume 484 of Communications in Computer and Information Science, page 89-96. Springer, (2014)Signal Denoising With Random Refined Orthogonal Matching Pursuit., and . IEEE Trans. Instrumentation and Measurement, 61 (1): 26-34 (2012)Hyperspectral and Multispectral Image Fusion Based on Spectral Low Rank and Non-Local Spatial Similarities., and . IGARSS, page 3137-3140. IEEE, (2019)The Utilization of Multi-Label Samples For Hyperspectral Image Classification., , and . IGARSS, page 2981-2984. IEEE, (2019)