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Fine-Grained Classification of Hyperspectral Imagery Based on Deep Learning.

, , , , and . Remote Sensing, 11 (22): 2690 (2019)

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Collinearity and orthogonality of endmembers in linear spectral unmixing., and . Int. J. Applied Earth Observation and Geoinformation, (2012)Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data., , , , and . IEEE Trans. Geoscience and Remote Sensing, 49 (11): 4104-4111 (2011)A Novel Unsupervised Sample Collection Method for Urban Land-Cover Mapping Using Landsat Imagery., , , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (6): 3933-3951 (2019)Hyperspectral Image Super-Resolution Using Deep Feature Matrix Factorization., , , and . IEEE Trans. Geoscience and Remote Sensing, 57 (8): 6055-6067 (2019)Gabor Cube Selection Based Multitask Joint Sparse Representation for Hyperspectral Image Classification., , , , , and . IEEE Trans. Geoscience and Remote Sensing, 54 (6): 3174-3187 (2016)New Improvements in Parallel Implementation of N-FINDR Algorithm., , and . IEEE Trans. Geoscience and Remote Sensing, 50 (10): 3648-3659 (2012)Segmented principal components transformation for efficient hyperspectral remote-sensing image display and classification., and . IEEE Trans. Geoscience and Remote Sensing, 37 (1): 538-542 (1999)Class-Specific Sparse Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification., , , , and . IEEE Trans. Geoscience and Remote Sensing, 54 (12): 7351-7365 (2016)Spectral-Spatial Classification of Hyperspectral Data Based on Deep Belief Network., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 2381-2392 (2015)Combinational Build-Up Index (CBI) for Effective Impervious Surface Mapping in Urban Areas., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (5): 2081-2092 (2016)