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A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing., , , , , , , и . IEEE Signal Process. Mag., 31 (1): 67-81 (2014)Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data., , , и . IGARSS, стр. 193-196. IEEE, (2010)Scanning the Issue., , , , , , , , , и 3 other автор(ы). Proc. IEEE, 107 (12): 2306-2307 (2019)Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives., , , , , , и . CoRR, (2022)Spatial-Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization., , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Exploiting spatial information in semi-supervised hyperspectral image segmentation., , и . WHISPERS, стр. 1-4. IEEE, (2010)Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations.. J. Parallel Distributed Comput., 68 (1): 93-111 (2008)Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" Pattern Recognition Letters 23 (2002) 1311-1321., , , и . Pattern Recognit. Lett., 24 (1-3): 631 (2003)Exploring the performance-power-energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing., , , , , и . J. Supercomput., 71 (5): 1893-1906 (2015)Convex formulation for hyperspectral image classification with superpixels., , , , и . IGARSS, стр. 3294-3297. IEEE, (2016)