Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

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

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Michael Kölle University of Stuttgart

Dr. Bastian Koller University of Stuttgart

Sebastian Koller University of Stuttgart

Markus Koller University of Stuttgart

Michael Böhm

Other publications of authors with the same name

Hybrid georeferencing of images and LiDAR data for UAV-based point cloud collection at millimetre accuracyN. Haala, M. Kölle, M. Cramer, D. Laupheimer, and F. Zimmermann. ISPRS Open Journal of Photogrammetry and Remote Sensing, (2022)Hybrid Acquisition of High Quality Training Data for Semantic Segmentation of 3D Point Clouds Using Crowd-Based Active LearningM. Kölle, V. Walter, S. Schmohl, and U. Sörgel. XXIV ISPRS Congress, Commission II, V-2-2020, page 501-508. Copernicus Publications, (2020)Bathymetrieableitung aus multispektralen Luftbildern über Convolutional Neural NetworksH. Nübel, G. Mandlburger, M. Kölle, and U. Sörgel. 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 29, page 156-171. München, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V., (2020)Evaluierung der Leistungsfähigkeit der Crowd für das Labeln von 3D-Punktwolken im Kontext von Active LearningM. Kölle, V. Walter, S. Schmohl, and U. Sörgel. 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 29, page 299-311. München, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V., (2020)Entwicklung und Evaluierung eines Web-Tools zur bezahlten crowd-basierten Erfassung von Bäumen aus 3D-PunktwolkenY. Yin, M. Kölle, and V. Walter. 40. Wissenschaftlich-Technische Jahrestagung der DGPF, 29, page 478-487. München, Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF) e.V., (2020)Forming a hybrid intelligence system by combining Active Learning and paid crowdsourcing for semantic 3D point cloud segmentationM. Kölle. Universität Stuttgart, Stuttgart, Dissertation, (2023)CATEGORISE: An Automated Framework for Utilizing the Workforce of the Crowd for Semantic Segmentation of 3D Point CloudsM. Kölle, V. Walter, I. Shiller, and U. Soergel. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 12667, page 633--648. Cham, Springer International Publishing, (2021)BathyNet: A Deep Neural Network for Water Depth Mapping from Multispectral Aerial ImagesG. Mandlburger, M. Kölle, H. Nübel, and U. Soergel. PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 89 (2): 71--89 (2021)WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHESM. Kölle, D. Laupheimer, V. Walter, N. Haala, and U. Soergel. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, (June 2021)Remembering Both the Machine and the Crowd When Sampling Points: Active Learning for Semantic Segmentation of ALS Point CloudsM. Kölle, V. Walter, S. Schmohl, and U. Soergel. Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021. Lecture Notes in Computer Science, 12667, page 505-520. Cham, Springer International Publishing, (2021)