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A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks.

, , , , , , and . Remote. Sens., 14 (22): 5861 (2022)

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Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study., , , , , and . ICCVW, page 1659-1668. IEEE, (2021)MixChannel: Advanced Augmentation for Multispectral Satellite Images., , , , , and . Remote. Sens., 13 (11): 2181 (2021)Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks., , , , , and . IEEE Access, (2022)Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation., , , , , and . CoRR, (2021)Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale., , , , , and . Remote. Sens., 14 (9): 2281 (2022)Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks., , , , and . Sensors, 21 (16): 5646 (2021)Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks., , , , , , and . Remote. Sens., 14 (22): 5861 (2022)Targeted change detection in remote sensing images., , , , and . ICMV, volume 11041 of SPIE Proceedings, page 110412H. SPIE, (2018)Satellite Imagery Analysis for Operational Damage Assessment in Emergency Situations., , , , and . BIS, volume 320 of Lecture Notes in Business Information Processing, page 347-358. Springer, (2018)