AUTOMATIC DETECTION AND CHARACTERIZATION OF GROUND OCCLUSIONS IN URBAN POINT CLOUDS FROM MOBILE LASER SCANNING DATA
Occlusions accompany serious problems that reduce the applicability of numerous algorithms. The aim of this work is to detect and characterize urban ground gaps based on occluding object. The point clouds for input have been acquired with Mobile Laser Scanning and have been previously segmented into...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2020-09-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/VI-4-W1-2020/13/2020/isprs-annals-VI-4-W1-2020-13-2020.pdf |