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Convex formulation for hyperspectral image classification with superpixels., , , , and . IGARSS, page 3294-3297. IEEE, (2016)Minimum volume simplicial enclosure for spectral unmixing of remotely sensed hyperspectral data., , , and . IGARSS, page 193-196. IEEE, (2010)A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing., , , , , , , and . IEEE Signal Process. Mag., 31 (1): 67-81 (2014)Exploring the performance-power-energy balance of low-power multicore and manycore architectures for anomaly detection in remote sensing., , , , , and . J. Supercomput., 71 (5): 1893-1906 (2015)Self-Organizing Map for Hyperspectral Image Analysis., , , , , and . IWANN (2), volume 2085 of Lecture Notes in Computer Science, page 208-218. Springer, (2001)A new approach to mixed pixel classification of hyperspectral imagery based on extended morphological profiles., , , and . Pattern Recognit., 37 (6): 1097-1116 (2004)Spatial-Spectral Feature Extraction With Local Covariance Matrix From Hyperspectral Images Through Hybrid Parallelization., , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2023)Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives., , , , , , and . CoRR, (2022)Corrigendum to "Recognizing marbling in dry-cured Iberian ham by multiscale analysis" Pattern Recognition Letters 23 (2002) 1311-1321., , , and . Pattern Recognit. Lett., 24 (1-3): 631 (2003)Parallel techniques for information extraction from hyperspectral imagery using heterogeneous networks of workstations.. J. Parallel Distributed Comput., 68 (1): 93-111 (2008)