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Evaluating the Potential of Texture and Color Descriptors for Remote Sensing Image Retrieval and Classification.

, , and . VISAPP (2), page 203-208. INSTICC Press, (2010)

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Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More., , , , and . SIBGRAPI, page 16-23. IEEE Computer Society, (2013)On the ensemble of multiscale object-based classifiers for aerial images: a comparative study., , and . Multimedia Tools Appl., 77 (19): 24565-24592 (2018)Shape-based time series analysis for remote phenology studies., , , , , , and . IGARSS, page 3598-3601. IEEE, (2013)Visual rhythm-based time series analysis for phenology studies., , , , and . ICIP, page 4412-4416. IEEE, (2013)Deriving vegetation indices for phenology analysis using genetic programming., , , , , and . Ecological Informatics, 26 (3): 61-69 (2015)Exploring Deep-Based Approaches for Semantic Segmentation of Mammographic Images., , , , and . CIARP, volume 11401 of Lecture Notes in Computer Science, page 690-698. Springer, (2018)Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?, , and . CVPR Workshops, page 44-51. IEEE Computer Society, (2015)Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming., , , , , and . CAIP (2), volume 6855 of Lecture Notes in Computer Science, page 300-307. Springer, (2011)Automatic Classifier Fusion for Produce Recognition., , , and . SIBGRAPI, page 252-259. IEEE Computer Society, (2012)A framework for selection and fusion of pattern classifiers in multimedia recognition., , , and . Pattern Recognition Letters, (2014)