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Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery.

, , , , and . Remote Sensing, 9 (8): 790 (2017)

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Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery., , , , and . Remote Sensing, 9 (8): 790 (2017)Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery., , , , and . Pattern Recognit., (2020)DLPNet: A deep manifold network for feature extraction of hyperspectral imagery., , , and . Neural Networks, (2020)Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning., , , , and . CoRR, (2018)Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-Spectral Manifold Learning., , , , and . IEEE Trans. Cybern., 50 (6): 2604-2616 (2020)Local Linear Spatial-Spectral Probabilistic Distribution for Hyperspectral Image Classification., , , and . IEEE Trans. Geosci. Remote. Sens., 58 (2): 1259-1272 (2020)Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification., , , and . IEEE Access, (2018)Multi-manifold locality graph preserving analysis for hyperspectral image classification., , , and . Neurocomputing, (2020)Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Dimensionality Reduction of Hyperspectral Image Using Spatial-Spectral Regularized Sparse Hypergraph Embedding., , and . Remote Sensing, 11 (9): 1039 (2019)