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On the ensemble of multiscale object-based classifiers for aerial images: a comparative study., , and . Multimedia Tools Appl., 77 (19): 24565-24592 (2018)Deriving vegetation indices for phenology analysis using genetic programming., , , , , and . Ecol. Informatics, 26 (3): 61-69 (2015)An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation., and . CoRR, (2020)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)ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation., and . SIBGRAPI, page 278-285. IEEE, (2021)Do deep features generalize from everyday objects to remote sensing and aerial scenes domains?, , and . CVPR Workshops, page 44-51. IEEE Computer Society, (2015)Classifier Selection Based on the Correlation of Diversity Measures: When Fewer Is More., , , , and . SIBGRAPI, page 16-23. IEEE Computer Society, (2013)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)Evaluating the Potential of Texture and Color Descriptors for Remote Sensing Image Retrieval and Classification., , and . VISAPP (2), page 203-208. INSTICC Press, (2010)