A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE
This paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to plane patches of the roof. The algorithm is developed based on the assumption that every non-flat roof...
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2012-07-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/97/2012/isprsarchives-XXXIX-B3-97-2012.pdf |
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doaj-e70bab4b37304704bfc9c67f06383f6c2020-11-24T21:51:58ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-07-01XXXIX-B39710210.5194/isprsarchives-XXXIX-B3-97-2012A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTUREH. Fan0H. Fan1Chair of GIScience, University of Heidelberg, Berlinerstr.48, 69120 HeidelbergDept. of Surveying and GeoInfomatic, Tongji University, Sipinglu 1239, 200092 ShanghaiThis paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to plane patches of the roof. The algorithm is developed based on the assumption that every non-flat roof can be decomposed into a set of gabled and/or hipped roof. The process detects roof ridges at first, and then detects points along each roof ridge. The experiments shows high efficiency and low error segmentation of the algorithm.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/97/2012/isprsarchives-XXXIX-B3-97-2012.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H. Fan H. Fan |
spellingShingle |
H. Fan H. Fan A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
H. Fan H. Fan |
author_sort |
H. Fan |
title |
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE |
title_short |
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE |
title_full |
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE |
title_fullStr |
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE |
title_full_unstemmed |
A NOVEL APPROACH FOR SEGMENTATION OF AIRBORNE LASER SCANNING POINT CLOUD LOCATED ON ROOF STRUCTURE |
title_sort |
novel approach for segmentation of airborne laser scanning point cloud located on roof structure |
publisher |
Copernicus Publications |
series |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
1682-1750 2194-9034 |
publishDate |
2012-07-01 |
description |
This paper is addressed to an approach for segmenting airborne laser scanning point cloud. It aims to detect and cluster point cloud of an input roof into several segments that are corresponding to plane patches of the roof. The algorithm is developed based on the assumption that every non-flat roof can be decomposed into a set of gabled and/or hipped roof. The process detects roof ridges at first, and then detects points along each roof ridge. The experiments shows high efficiency and low error segmentation of the algorithm. |
url |
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/97/2012/isprsarchives-XXXIX-B3-97-2012.pdf |
work_keys_str_mv |
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1725877632038338560 |