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Empirical Automatic Estimation of the Number of Endmembers in Hyperspectral Images., , , and . IEEE Geosci. Remote. Sens. Lett., 10 (1): 24-28 (2013)Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (3): 1612-1628 (2019)Graph-Induced Aligned Learning on Subspaces for Hyperspectral and Multispectral Data., , , and . IEEE Trans. Geosci. Remote. Sens., 59 (5): 4407-4418 (2021)LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection., , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Poissonian Blurred Hyperspectral Imagery Denoising Based on Variable Splitting and Penalty Technique., , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)ArbRPN: A Bidirectional Recurrent Pansharpening Network for Multispectral Images With Arbitrary Numbers of Bands., , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)A survey on hyperspectral image restoration: from the view of low-rank tensor approximation., , , , , and . Sci. China Inf. Sci., (April 2023)Learning Shared Cross-modality Representation Using Multispectral-LiDAR and Hyperspectral Data., , , , and . CoRR, (2019)Deep Learning of Radiometrical and Geometrical Sar Distorsions for Image Modality translations., , , and . ICIP, page 1766-1770. IEEE, (2022)Non-Local Means Low-Rank Approximation for Hyperspectral Denoising., , , and . IGARSS, page 4147-4150. IEEE, (2021)