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Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks

, , and . Remote Sensing, 14 (6): 1317 (2022)
DOI: 10.3390/rs14061317

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Towards Urban Tree Recognition in Airborne Point Clouds with Deep 3D Single-Shot Detectors, , , and . Cham, Springer International Publishing, (2021)Unsicherheitsauswertung von semantischer Segmentierung mittels Neuronaler Netze, , and . 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 29, page 280-289. München, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V., (2020)Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point Clouds, , , and . Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 12667, page 505-520. Cham, Springer International Publishing, (2021)The Hessigheim 3D (H3D) benchmark on semantic segmentation of high-resolution 3D point clouds and textured meshes from UAV LiDAR and Multi-View-Stereo, , , , , , and . ISPRS open journal of photogrammetry and remote sensing, 1 (October): 100001 (2021)Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks, , and . Remote Sensing, 14 (6): 1317 (2022)Learning on the Edge : Benchmarking Active Learning for the Semantic Segmentation of ALS Point Clouds, , , and . ISPRS Geospatial Week 2023, X-1/W1-2023, page 945-952. Copernicus Publications, (2023)Individual Tree Detection in Urban ALS Point Clouds with 3D Convolutional Networks, , and . Remote sensing, 14 (6): 1317 (2022)Hybrid Acquisition of High Quality Training Data for Semantic Segmentation of 3D Point Clouds Using Crowd-Based Active Learning, , , and . XXIV ISPRS Congress, Commission II, V-2-2020, page 501-508. Copernicus Publications, (2020)A Mobile Multi-Sensor Platform for Building Reconstruction Integrating Terrestrial and Autonomous UAV-Based Close Range Data Acquisition, , , , and . International archives of photogrammetry, remote sensing and spatial information sciences, (2017)Evaluierung der Leistungsfähigkeit der Crowd für das Labeln von 3D-Punktwolken im Kontext von Active Learning, , , and . 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 29, page 299-311. München, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V., (2020)