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Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds

, , and . PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (2024)
DOI: 10.1007/s41064-024-00281-3

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Modeling Concepts for Consistency Analysis of Multiple Representations and Heterogeneous 3D Geodata., , and . IF&GIS, page 91-106. Springer, (2013)CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point Clouds., , , and . GCPR, volume 13024 of Lecture Notes in Computer Science, page 633-648. Springer, (2021)Building a Fully-Automatized Active Learning Framework for the Semantic Segmentation of Geospatial 3D Point Clouds, , and . PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, (2024)Efficient and Accurate Tree Detection from 3D Point Clouds through Paid Crowdsourcing, , , and . (2023)Evaluation and Optimisation of Crowd-Based Collection of Trees from 3D Point Clouds, , and . XXIV ISPRS Congress, Commission IV, V-4-2020, page 49-56. Copernicus Publications, (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 : Virtual Event, January 10-15, 2021, Proceedings, volume IV of Lecture Notes in Computer Science, page 505-520. Cham, Springer, (2021)Integration of Multiple Collected Polygons With a Raster-Based Approach. International archives of photogrammetry, remote sensing and spatial information sciences, (2018)Rechenverfahren in der spektralphotometrischen Mehrkomponentenanalyse.. University of Marburg, Germany, (1983)A two-step approach for the acquisition of individual tree outlines using paid crowdsourcing, Wissenschaftlich-Technische Jahrestagung der DGPF ; 43., , , and . 43. Wissenschaftlich-Technische Jahrestagung der DGPF, 22.-23. März 2023 in München, Wissenschaftlich-Technische Jahrestagung der DGPF ; 43., page 163-173. Stuttgart, Geschäftsstelle der DGPF;, (2023)Learning from the Past : Crowd-Driven Active Transfer Learning for Semantic Segmentation of Multi-Temporal 3d Point Clouds, , and . XXIV ISPRS Congress “Imaging today, foreseeing tomorrow”, Commission II, V-2-2022, page 259-266. Copernicus Publications, (2022)