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GPU implementation of hyperspectral image classification based on weighted Markov random fields., , , , , и . WHISPERS, стр. 1-4. IEEE, (2016)Hyperspectral Anomaly Detection Based on Low Rank and Sparse Tensor Decomposition., , , , , и . IGARSS, стр. 2240-2243. IEEE, (2019)Hyperspectral Unmixing Via Wavelet Based Autoencoder Network., , , , и . WHISPERS, стр. 1-5. IEEE, (2019)Parallel and Distributed Dimensionality Reduction of Hyperspectral Data on Cloud Computing Architectures., , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (6): 2270-2278 (2016)A novel sparsity constrained nonnegative matrix factorization for hyperspectral unmixing., , , , и . IGARSS, стр. 1389-1392. IEEE, (2012)Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification., , , и . IEEE Access, (2017)Two-stage fine-grained image classification model based on multi-granularity feature fusion., , , , , , и . Pattern Recognit., (февраля 2024)Multiattention Joint Convolution Feature Representation With Lightweight Transformer for Hyperspectral Image Classification., , , , и . IEEE Trans. Geosci. Remote. Sens., (2023)A Unified Attention Paradigm for Hyperspectral Image Classification., , , и . IEEE Trans. Geosci. Remote. Sens., (2023)ADMM-HFNet: A Matrix Decomposition-Based Deep Approach for Hyperspectral Image Fusion., , , , и . IEEE Trans. Geosci. Remote. Sens., (2022)