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Active Learning: Any Value for Classification of Remotely Sensed Data?, , and . Proc. IEEE, 101 (3): 593-608 (2013)Very-High Resolution Image Classification using Morphological Operators and SVM., , , , , and . IGARSS (4), page 220-223. IEEE, (2008)Domain adaptation in remote sensing through cross-image synthesis with dictionaries., , , and . IGARSS, page 3714-3717. IEEE, (2014)Cross-Modal Learning of Housing Quality in Amsterdam., , , and . GeoAI@SIGSPATIAL, page 1-4. ACM, (2021)Semantically Interpretable Activation Maps: what-where-how explanations within CNNs., , and . ICCV Workshops, page 4207-4215. IEEE, (2019)Self-supervised Pre-training Enhances Change Detection in Sentinel-2 Imagery., , , and . ICPR Workshops (7), volume 12667 of Lecture Notes in Computer Science, page 578-590. Springer, (2020)Multi-view feature extraction for hyperspectral image classification., , , and . ESANN, (2013)Recent advances in remote sensing image processing., and . ICIP, page 3705-3708. IEEE, (2009)Dataset shift adaptation with active queries., , and . JURSE, page 121-124. IEEE, (2011)Memory-Based Cluster Sampling for Remote Sensing Image Classification., , and . IEEE Trans. Geosci. Remote. Sens., 50 (8): 3096-3106 (2012)