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Active Learning: Any Value for Classification of Remotely Sensed Data?, , and . Proceedings of the IEEE, 101 (3): 593-608 (2013)Multi-view feature extraction for hyperspectral image classification., , , and . ESANN, (2013)Optimal transport for data fusion in remote sensing., , , and . IGARSS, page 3571-3574. IEEE, (2016)Memory-Based Cluster Sampling for Remote Sensing Image Classification., , and . IEEE Trans. Geoscience and Remote Sensing, 50 (8): 3096-3106 (2012)Semisupervised Transfer Component Analysis for Domain Adaptation in Remote Sensing Image Classification., , , , and . IEEE Trans. Geoscience and Remote Sensing, 53 (7): 3550-3564 (2015)SVM-Based Boosting of Active Learning Strategies for Efficient Domain Adaptation., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 5 (5): 1335-1343 (2012)Optimal Transport for Domain Adaptation., , , and . CoRR, (2015)Deep learning in remote sensing: a review., , , , , , and . CoRR, (2017)Dense semantic labeling of sub-decimeter resolution images with convolutional neural networks., and . CoRR, (2016)Semantically Interpretable Activation Maps: what-where-how explanations within CNNs., , and . CoRR, (2019)