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Hyperspectral Image Classification via Superpixel Correlation Coefficient Representation.

, , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (11): 4113-4127 (2018)

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Density Peak Based Covariance Matrix for Hyperspectral Images Classification., , , , and . IGARSS, page 3301-3304. IEEE, (2019)Superpixel Regularized Multiple kernel Gabor Fusion for Hyperspectral Image Classification., , and . ICCPR, page 175-182. ACM, (2021)Hyperspectral Anomaly Detection via Spatial Density Background Purification., , , , and . Remote Sensing, 11 (22): 2618 (2019)Classification of hyperspectral images via weighted spatial correlation representation., , , , and . J. Visual Communication and Image Representation, (2018)Spatial-spectral classification of hyperspectral image via group tensor decomposition., , , , and . Neurocomputing, (2018)Hyperspectral Image Classification with Multi-Scale Feature Extraction., , , , and . Remote Sensing, 11 (5): 534 (2019)Hyperspectral image classification with a class-dependent spatial-spectral mixed metric., , , , and . Pattern Recognition Letters, (2019)Hyperspectral Image Classification via Superpixel Correlation Coefficient Representation., , , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (11): 4113-4127 (2018)Density Peak Covariance Matrix for Feature Extraction of Hyperspectral Image., , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (3): 534-538 (2020)