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Self-adaptive manifold discriminant analysis for feature extraction from hyperspectral imagery.

, , , , and . Pattern Recognit., (2020)

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TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks., , , , , , and . CoRR, (2022)Fusion of Weighted Mean Reconstruction and SVMCK for Hyperspectral Image Classification., , , and . IEEE Access, (2018)Infrared Small Target Detection via $L_0$ Sparse Gradient Regularized Tensor Spectral Support Low-Rank Decomposition., , , , and . IEEE Trans. Aerosp. Electron. Syst., 59 (3): 2105-2122 (June 2023)Tensor Decomposition Based Attention Module for Spiking Neural Networks., , , , , and . CoRR, (2023)Adaptive Residual Convolutional Neural Network for Hyperspectral Image Classification., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)Multi-manifold locality graph preserving analysis for hyperspectral image classification., , , and . Neurocomputing, (2020)Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning., , , , and . CoRR, (2018)Semisupervised Manifold Joint Hypergraphs for Dimensionality Reduction of Hyperspectral Image., , , , and . IEEE Geosci. Remote. Sens. Lett., 18 (10): 1811-1815 (2021)Classification via Structure-Preserved Hypergraph Convolution Network for Hyperspectral Image., , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)Local Constraint-Based Sparse Manifold Hypergraph Learning for Dimensionality Reduction of Hyperspectral Image., , and . IEEE Trans. Geosci. Remote. Sens., 59 (1): 613-628 (2021)