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Convolutional neural networks for segmenting xylem vessels in stained cross-sectional images., , , , , , , and . Neural Comput. Appl., 32 (24): 17927-17939 (2020)TS2uRF: A New Method for Sharpening Thermal Infrared Satellite Imagery., , , and . Remote. Sens., 10 (2): 249 (2018)Scale-Aware Pansharpening Algorithm for Agricultural Fragmented Landscapes., , , and . Remote. Sens., 8 (10): 870 (2016)A satellite-based ex post analysis of water management in a blueberry orchard., , , , , and . Comput. Electron. Agric., (2020)Use of Machine Learning to Improve the Robustness of Spatial Estimation of Evapotranspiration., , , , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 237-245. Springer, (2017)The Outlining of Agricultural Plots Based on Spatiotemporal Consensus Segmentation., , , and . Remote. Sens., 10 (12): 1991 (2018)Patagonian Andes Landslides Inventory: The Deep Learning's Way to Their Automatic Detection., , , , , , and . Remote. Sens., 14 (18): 4622 (2022)Deep Learning for Automatic Outlining Agricultural Parcels: Exploiting the Land Parcel Identification System., , , and . IEEE Access, (2019)Adjustment of Sentinel-3 Spectral Bands With Sentinel-2 to Enhance the Quality of Spatio-Temporally Fused Images., , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2024)Toward reduction of artifacts in fused images., , and . Int. J. Appl. Earth Obs. Geoinformation, 13 (3): 368-375 (2011)