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Correction to Äctive Learning Methods for Remote Sensing Image Classification" Jul 09 2218-2232.

, , , , and . IEEE Trans. Geoscience and Remote Sensing, 48 (6): 2767 (2010)

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2011 GRSS Data Fusion Contest: Exploiting WorldView-2 multi-angular acquisitions., , and . IGARSS, page 1163-1166. IEEE, (2011)An automated flood detection framework for very high spatial resolution imagery., , , , and . IGARSS, page 4954-4957. IEEE, (2014)Classification of Very High Spatial Resolution Imagery Using Mathematical Morphology and Support Vector Machines., , , and . IEEE Trans. Geoscience and Remote Sensing, 47 (11): 3866-3879 (2009)Neural Networks for Arctic Atmosphere Sounding From Radio Occultation Data., , , , , , and . IEEE Trans. Geoscience and Remote Sensing, 49 (12): 4846-4855 (2011)Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest., , , , , , , , , and 1 other author(s). IEEE Trans. Geoscience and Remote Sensing, 47 (11): 3857-3865 (2009)Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest., , , , , , , , , and 4 other author(s). IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 7 (6): 2405-2418 (2014)Multispectral land-use/land-cover model portability in multi-temporal multi-angle very high resolution imagery., , and . IGARSS, page 1115-1118. IEEE, (2013)Monitoring Urban Land Cover in Rome, Italy, and Its Changes by Single-Polarization Multitemporal SAR Images., , and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 1 (2): 87-97 (2008)Challenges and opportunities of multimodality and Data Fusion in Remote Sensing., , , , and . EUSIPCO, page 106-110. IEEE, (2014)Comparing Statistical and Neural Network Methods Applied to Very High Resolution Satellite Images Showing Changes in Man-Made Structures at Rocky Flats., , , , and . IEEE Trans. Geoscience and Remote Sensing, 46 (6): 1812-1821 (2008)