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Reducing Uncertainty in Mapping of Mangrove Aboveground Biomass Using Airborne Discrete Return Lidar Data., , , , , и . Remote Sensing, 10 (4): 637 (2018)Magnetic Resonance Imaging Virtual Histopathology from Weakly Paired Data., , , , , , , , и . COMPAY@MICCAI, том 156 из Proceedings of Machine Learning Research, стр. 140-150. PMLR, (2021)GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery., , , , , , , , и . CoRR, (2024)Quantitative Airborne Inventories in Dense Tropical Forest Using Imaging Spectroscopy., , , , , , и . Remote. Sens., 12 (10): 1577 (2020)Peering through the thicket: Effects of UAV LiDAR scanner settings and flight planning on canopy volume discovery., , , , , и . Int. J. Appl. Earth Obs. Geoinformation, (2022)Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination., , , и . CoRR, (2023)A Comparative Assessment of the Performance of Individual Tree Crowns Delineation Algorithms from ALS Data in Tropical Forests., , , , , , , , и . Remote Sensing, 11 (9): 1086 (2019)An ambient assisted living nighttime wandering system for elderly., , , , , и . iiWAS, стр. 368-374. ACM, (2016)Equatorial Forests Display Distinct Trends in Phenological Variation: A Time-Series Analysis of Vegetation Index Data from Three Continents., , , , , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3505-3511 (2016)Sensing Tropical Forest Phenology and Productivity from the Field to the Satellite., , , , , и . IGARSS, стр. 716-719. IEEE, (2021)