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Plant Counting of Cotton from UAS Imagery Using Deep Learning-Based Object Detection Framework., , , , , , , и . Remote. Sens., 12 (18): 2981 (2020)Mapping Open Space in an Old-Growth, Secondary-Growth, and Selectively-Logged Tropical Rainforest Using Discrete Return LIDAR., , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 6 (6): 2453-2461 (2013)Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data., , , , , , , , , и 1 other автор(ы). Remote. Sens., 13 (13): 2567 (2021)An Object-Based Ground Filtering of Airborne LiDAR Data for Large-Area DTM Generation., и . Remote. Sens., 15 (16): 4105 (августа 2023)Performance Evaluation of Parallel Structure from Motion (SfM) Processing with Public Cloud Computing and an On-Premise Cluster System for UAS Images in Agriculture., , , , , и . ISPRS Int. J. Geo Inf., 10 (10): 677 (2021)Unmanned Aircraft System- (UAS-) Based High-Throughput Phenotyping (HTP) for Tomato Yield Estimation., , , , , , , и . J. Sensors, (2021)Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms., , , , , и . J. Sensors, (2019)A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually., и . CoRR, (2022)Challenges in building extraction from airborne LiDAR data: ground-truth, building boundaries, and evaluation metrics., и . SIGSPATIAL/GIS, стр. 118:1-118:4. ACM, (2022)Task scheduling algorithm using minimized duplications in homogeneous systems., , , , , и . J. Parallel Distributed Comput., 68 (8): 1146-1156 (2008)