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Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images.

, , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 5580-5594 (2019)

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Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image., , , , and . CoRR, (2017)Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images., , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (8): 5580-5594 (2019)Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images., , , , , , and . IET Image Process., 13 (2): 299-306 (2019)Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification., , and . IEEE Access, (2018)Supervised Dimensionality Reduction of Hyperspectral Imagery Via Local and Global Sparse Representation., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time., , , , , and . CoRR, (2023)Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification., , , , , and . Remote Sensing, 9 (12): 1255 (2017)Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 56 (11): 6263-6279 (2018)Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification., , , , and . BICS, volume 10989 of Lecture Notes in Computer Science, page 394-401. Springer, (2018)Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification., , , and . CoRR, (2017)