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A deep learning-based mobile application for tree species mapping in RGB images., , , , , , , , , and 4 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2022)Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery., , , , , , , , and . Sensors, 20 (2): 563 (2020)Image Segmentation and Classification with SLIC Superpixel and Convolutional Neural Network in Forest Context., , , , , and . IGARSS, page 6543-6546. IEEE, (2019)Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning., , , , , , , , , and 2 other author(s). Remote. Sens., 13 (16): 3054 (2021)Transformers for mapping burned areas in Brazilian Pantanal and Amazon with PlanetScope imagery., , , , , , , , , and 6 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (February 2023)Semantic segmentation with labeling uncertainty and class imbalance applied to vegetation mapping., , , , , , , , , and 5 other author(s). Int. J. Appl. Earth Obs. Geoinformation, (2022)Semantic Segmentation with Labeling Uncertainty and Class Imbalance., , , , , , , , , and 1 other author(s). CoRR, (2021)Segmentation of Tree Canopies in Urban Environments Using Dilated Convolutional Neural Network., , , , , , and . IGARSS, page 6932-6935. IEEE, (2021)Assessment of CNN-Based Methods for Single Tree Detection on High-Resolution RGB Images in Urban Areas., , , , , and . IGARSS, page 590-593. IEEE, (2021)Machine learning and SLIC for Tree Canopies segmentation in urban areas., , , , , , , , , and 2 other author(s). Ecol. Informatics, (2021)