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Domain adaptation in remote sensing through cross-image synthesis with dictionaries.

, , , and . IGARSS, page 3714-3717. IEEE, (2014)

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Learning Relevant Image Features With Multiple-Kernel Classification., , , and . IEEE Trans. Geosci. Remote. Sens., 48 (10): 3780-3791 (2010)Enhanced change detection using nonlinear feature extraction., , , and . IGARSS, page 6757-6760. IEEE, (2012)Statistical assessment of dataset shift and model portability in multi-angle in-track image acquisitions., , , , and . IGARSS, page 4134-4137. IEEE, (2013)Learning the Relevant Image Features with Multiple Kernels., , , and . IGARSS (2), page 65-68. IEEE, (2009)Hierarchical sparse representation for dictionary-based classification of hyperspectral images., , , , and . WHISPERS, page 1-4. IEEE, (2014)Investigating Feature Extraction for Domain Adaptation in Remote Sensing Image Classification., , , , and . ICPRAM, page 419-424. SciTePress, (2013)A space-time data cube: Multi-temporal forest structure maps from landsat and lidar., , , , , , and . IGARSS, page 2581-2584. IEEE, (2017)Domain separation for efficient adaptive active learning., , and . IGARSS, page 3716-3719. IEEE, (2011)Semi-supervised multiview embedding for hyperspectral data classification., , , and . Neurocomputing, (2014)Domain adaptation in remote sensing through cross-image synthesis with dictionaries., , , and . IGARSS, page 3714-3717. IEEE, (2014)