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Hierarchical Structure-Based Noisy Labels Detection for Hyperspectral Image Classification., , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Multi-resolution Pyramid Enhanced Non-local Feature Extraction for Hyperspectral Classification., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Kernel Entropy Component Analysis-Based Robust Hyperspectral Image Supervised Classification., , , , , и . Remote. Sens., 11 (23): 2823 (2019)Spatial Peak-Aware Collaborative Representation for Hyperspectral Imagery Classification., , , и . IEEE Geosci. Remote. Sens. Lett., (2022)Spectral-spatial sequence characteristics-based convolutional transformer for hyperspectral change detection., , , , , и . CAAI Trans. Intell. Technol., 8 (4): 1237-1257 (декабря 2023)Density Peak Based Covariance Matrix for Hyperspectral Images Classification., , , , и . IGARSS, стр. 3301-3304. IEEE, (2019)Multiattribute Sample Learning for Hyperspectral Image Classification Using Hierarchical Peak Attribute Propagation., , , , и . IEEE Trans. Instrum. Meas., (2022)Feature Extraction Using Multitask Superpixel Auxiliary Learning for Hyperspectral Classification., , , , и . IEEE Trans. Instrum. Meas., (2021)Feature Extraction Using Multidimensional Spectral Regression Whitening for Hyperspectral Image Classification., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Structure-Aware Multikernel Learning for Hyperspectral Image Classification., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)