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