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Noise Reduction in Hyperspectral Imagery: Overview and Application., , , , and . Remote Sensing, 10 (3): 482 (2018)Combining Rotation Forest and Multiscale Segmentation for the Classification of Hyperspectral Data., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 9 (9): 4060-4072 (2016)(Semi-) Supervised Probabilistic Principal Component Analysis for Hyperspectral Remote Sensing Image Classification., , , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2224-2236 (2014)On the Use of a New Additive Kernel for Change Detection using SVM., , , and . IGARSS (3), page 162-165. IEEE, (2008)Unsupervised nonlinear spectral unmixing by means of NLPCA applied to hyperspectral imagery., , , and . IGARSS, page 1369-1372. IEEE, (2012)Polarimetric sar target decomposition based on nonlinear decorrelation., , , , and . TyWRRS, page 283-287. IEEE, (2012)Deep Learning of Radiometrical and Geometrical Sar Distorsions for Image Modality translations., , , and . ICIP, page 1766-1770. IEEE, (2022)Binary Partition Trees-Based Spectral-Spatial Permutation Ordering., , , and . ISMM, volume 9082 of Lecture Notes in Computer Science, page 434-445. Springer, (2015)Decision level fusion in classification of hyperspectral data from urban areas., , , and . IGARSS, IEEE, (2004)A Combined Support Vector Machines Classification Based on Decision Fusion., , and . IGARSS, page 2494-2497. IEEE, (2006)