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Domain Invariant and Compact Prototype Contrast Adaptation for Hyperspectral Image Classification.

, , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)

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Ideal regularized kernel for hyperspectral image classification., and . IGARSS, page 3274-3277. IEEE, (2016)Correntropy-based robust joint sparse representation for hyperspectral image classification., and . WHISPERS, page 1-5. IEEE, (2016)Remarks on Tiny Zero-Sum Sequences., , , , and . Integers, (2013)Semi-supervised learning based on high density region estimation., , and . Neural Networks, 23 (7): 812-818 (2010)Extreme Learning Machine With Composite Kernels for Hyperspectral Image Classification., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 8 (6): 2351-2360 (2015)Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification., , , and . Remote Sensing, 11 (9): 1114 (2019)Multivariate Calibration with Support Vector Regression Based on Random Projection., and . Int. J. Wavelets Multiresolution Inf. Process., (2012)Adaptive Local Discriminant Analysis and Distribution Matching for Domain Adaptation in Hyperspectral Image Classification., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Log-Euclidean Kernel-Based Joint Sparse Representation for Hyperspectral Image Classification., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 12 (12): 5023-5034 (2019)Maximum Likelihood Estimation Based Nonnegative Matrix Factorization for Hyperspectral Unmixing., , , , and . Remote. Sens., 13 (13): 2637 (2021)