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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)GPU Parallel Implementation of Gas Plume Detection in Hyperspectral Video Sequences., , , , , , , and . IGARSS, page 2781-2784. IEEE, (2018)Higher-Order Statistics for the Detection of Small Objects in a Noisy Background Application on Sonar Imaging., , , and . EURASIP J. Adv. Signal Process., (2007)Nonlinear Unmixing of Hyperspectral Data Using Semi-Nonnegative Matrix Factorization., , and . IEEE Trans. Geosci. Remote. Sens., 52 (2): 1430-1437 (2014)Pansharpening Based on Deconvolution for Multiband Filter Estimation., , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (1): 540-553 (2019)Rotation-Based Support Vector Machine Ensemble in Classification of Hyperspectral Data With Limited Training Samples., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (3): 1519-1531 (2016)A Pansharpening Approach Based on Multiple Linear Regression Estimation of Injection Coefficients., , , and . IEEE Geosci. Remote. Sens. Lett., 17 (1): 102-106 (2020)Fusion of short-wave infrared and visible near-infrared WorldView-3 data., and . Inf. Fusion, (2020)Cellular Automata-Based Image Sequence Denoising Algorithm for Signal Dependent Noise., , and . IWINAC (2), volume 10338 of Lecture Notes in Computer Science, page 333-342. Springer, (2017)