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Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images.

, , , , , and . Remote. Sens., 11 (5): 536 (2019)

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Singular Spectrum Analysis for effective noise removal and improved data classification in Hyperspectral Imaging., , and . WHISPERS, page 1-4. IEEE, (2014)A Comparative Study of Loss Functions for Hyperspectral SISR., , , , and . EUSIPCO, page 484-487. IEEE, (2022)2D-SSA Based Multiscale Feature Fusion for Feature Extraction and Data Classification in Hyperspectral Imagery., , , , , and . IGARSS, page 76-79. IEEE, (2020)Superpixel based Feature Specific Sparse Representation for Spectral-Spatial Classification of Hyperspectral Images., , , , , and . Remote. Sens., 11 (5): 536 (2019)SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture., , , , and . IGARSS, page 1516-1519. IEEE, (2022)Attention-Infused 3D-SRCNN for Hyperspectral Image Super Resolution., , , , and . EUSIPCO, page 456-460. IEEE, (2023)Singular spectrum analysis for improving hyperspectral imaging based beef eating quality evaluation., , , , , and . Comput. Electron. Agric., (2015)Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging., , , , , and . J. Frankl. Inst., 355 (4): 1733-1751 (2018)PCA-Domain Fused Singular Spectral Analysis for Fast and Noise-Robust Spectral-Spatial Feature Mining in Hyperspectral Classification., , , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Bayesian Hybrid Loss for Hyperspectral SISR Using 3D Wide Residual CNN., , , , and . ICIP, page 2115-2119. IEEE, (2023)