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ChessMix: Spatial Context Data Augmentation for Remote Sensing Semantic Segmentation., and . SIBGRAPI, page 278-285. IEEE, (2021)Visual rhythm-based time series analysis for phenology studies., , , , and . ICIP, page 4412-4416. IEEE, (2013)Shape-based time series analysis for remote phenology studies., , , , , , and . IGARSS, page 3598-3601. IEEE, (2013)An End-to-end Framework For Low-Resolution Remote Sensing Semantic Segmentation., and . CoRR, (2020)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)Ensemble of classifiers for remote sensed hyperspectral land cover analysis: An approach based on Linear Programming and Weighted Linear Combination., , , , and . IGARSS, page 4082-4085. IEEE, (2013)Hyperspectral band selection through Optimum-Path Forest and evolutionary-based algorithms., , , , and . IGARSS, page 3066-3069. IEEE, (2012)Phenological Event Detection by Visual Rhythms Dissimilarity Analysis., , , , , , , and . eScience, page 263-270. IEEE Computer Society, (2014)