01406nam a2200217 a 450000100080000000500110000800800410001910000180006024501020007826001680018030000180034850000170036652006450038365000190102865300270104765300270107470000190110170000260112070000200114670000220116620315612020-01-21       2015    bl uuuu     u00u1 u    #d1 aVARGAS, J. E.  aContextual superpixel description for remote sensing image classification.h[electronic resource]  aIn: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2015, Milan. Proceedings... Washington, DC: Institute of Electrical and Electronics Engineersc2015  ap. 1132-1135.  aIGARSS 2015.  aAbstract: The performance of pattern classifiers depends on the separability of the classes in the feature space - a property related to the quality of the descriptors - and the choice of informative training samples for user labeling - a procedure that usually requires active learning. This work is devoted to improve the quality of the descriptors when samples are superpixels from remote sensing images. We introduce a new scheme for superpixel description based on Bag of visual Words, which includes information from adjacent superpixels, and validate it by using two remote sensing images and several region descriptors as baselines.  aremote sensing  aContextual information  aSuperpixel description1 aFALCÃO, A. X.1 aESQUERDO, J. C. D. M.1 aCOUTINHO, A. C.1 aANTUNES, J. F. G.