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Joint multi-feature hyperspectral image classification with spatial constraint in semantic manifold.

, , , , , and . IGARSS, page 481-484. IEEE, (2016)

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Dimensionality Reduction Based on Group-Based Tensor Model for Hyperspectral Image Classification., , and . IEEE Geosci. Remote. Sens. Lett., 13 (10): 1497-1501 (2016)Patch Tensor-Based Sparse and Low-Rank Graph for Hyperspectral Images Dimensionality Reduction., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (7): 2513-2527 (2018)A weighted multi-task joint sparse representation method for hyperspectral image classification., , , and . IGARSS, page 2446-2449. IEEE, (2016)Tensor-Based Low-Rank Graph With Multimanifold Regularization for Dimensionality Reduction of Hyperspectral Images., , , and . IEEE Trans. Geosci. Remote. Sens., 56 (8): 4731-4746 (2018)Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction., , , , and . Remote. Sens., 11 (15): 1822 (2019)Hierarchical Discriminative Feature Learning for Hyperspectral Image Classification., , , , and . IEEE Geosci. Remote. Sens. Lett., 13 (4): 594-598 (2016)Spatial-spectral feature extraction of hyperspectral images for wheat seed identification., , , , , , , and . Comput. Electr. Eng., (2022)Joint multi-feature hyperspectral image classification with spatial constraint in semantic manifold., , , , , and . IGARSS, page 481-484. IEEE, (2016)Sparsity-constrained generalized bilinear model for hyperspectral unmixing., , , , , and . IGARSS, page 5055-5058. IEEE, (2015)Tensor based low rank representation of hyperspectral images for wheat seeds varieties identification., , , , , , , and . Comput. Electr. Eng., (September 2023)