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Injecting Domain Knowledge Into Deep Neural Networks for Tree Crown Delineation., , , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2022)RandCrowns: A Quantitative Metric for Imprecisely Labeled Tree Crown Delineation., , , , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Cross-site learning in deep learning RGB tree crown detection., , , , and . Ecol. Informatics, (2020)Quantifying Leaf Phenology of Individual Trees and Species in a Tropical Forest Using Unmanned Aerial Vehicle (UAV) Images., , , , , and . Remote. Sens., 11 (13): 1534 (2019)Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks., , , , and . Remote. Sens., 11 (11): 1309 (2019)Estimation of the Distribution of Tabebuia guayacan (Bignoniaceae) Using High-Resolution Remote Sensing Imagery., , , , , , and . Sensors, 11 (4): 3831-3851 (2011)Evaluating similarity measures for hyperspectral classification of tree species at Ordway-Swisher Biological Station., , , and . IGARSS, page 2691-2694. IEEE, (2014)Improving Rare Tree Species Classification Using Domain Knowledge., , , , , , and . IEEE Geosci. Remote. Sens. Lett., (2023)Comparing Phenology of a Temperate Deciduous Forest Captured by Solar-Induced Fluorescence and Vegetation Indices., , , , , , and . Remote. Sens., 15 (21): 5101 (November 2023)One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy., , , and . IEEE Geosci. Remote. Sens. Lett., 13 (7): 967-971 (2016)