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- Title
Automatic Extraction of Building Roofs from LiDAR Data Using a Hybridized Method.
- Authors
GAO Guang; MA Hongchao; ZHANG Liang
- Abstract
Two types of approach called region-growing and random sample consensus have been proposed for automatic building roof extraction. They both, however, have drawbacks. In this paper, an hybridized method is proposed to take advantage of both algorithms7 strengths so that building roofs can be extracted more precisely and efficiently. First, we calculate the normal and rough features from LiDAR data for the coarse extraction of building roofs. Second, precise roof-extraction is performed using an extended RANSAC method which takes the coarse extraction results as the priori-knowledge, and integrates a region growing method. Finally, a poll strategy is adopted to solve the competition problem. The experimental results show that our method can extract intact building roofs in a highly automated manner.
- Subjects
BUILDINGS; ROOFS; LIDAR; LASER based sensors; RADAR -- Optical equipment
- Publication
Geomatics & Information Science of Wuhan University, 2014, Vol 39, Issue 10, p1225
- ISSN
1671-8860
- Publication type
Article
- DOI
10.13203/j.whugis20130570