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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...

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Principais autores: J. Balado, E. González, E. Verbree, L. Díaz-Vilariño, H. Lorenzo
Formato: Artigo
Idioma:Inglês
Publicado: Copernicus Publications 2020-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Acceso en liña: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
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