Building boundary extraction from LiDAR data

Hsiao Chu Hung, Yi Hsin Tseng

研究成果: Conference contribution


Three-dimensional (3D) city modeling has been rapidly increasing the importance due to the need for accurate 3D spatial information for urban planning and management. Building modeling is one of the major tasks in city modeling. Traditionally, building models are mainly reconstructed using aerial images with photogrammetric mapping technique. Because manual measurement of building boundary is required, the photogrammetry approachis time-consuming. Airborne LiDAR data directly provide 3D spatial information and make the reconstruction process of building models to be straight forward and possibly to be very automatic. Focused on the extraction of building boundaries from LiDAR point-cloud data, this paper proposes an algorithm to detect building outlines and to simplify and regulate the outlines to form the structures of building roofs. The algorithmis mainly composed of two parts. The first part is to extract the structure lines of buildings, which can be obtained by calculating the intersections of adjacent planes formed by coplanar point cloud. The second part focuses onthe detection of the building boundaries by using aboundary tracing algorithm. Our preliminary experimental results show the possibility of extracting structure lines and boundaries of buildings. Further study will be continue to refine the algorithm.

主出版物標題33rd Asian Conference on Remote Sensing 2012, ACRS 2012
出版狀態Published - 2012 十二月 1
事件33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
持續時間: 2012 十一月 262012 十一月 30


名字33rd Asian Conference on Remote Sensing 2012, ACRS 2012


Other33rd Asian Conference on Remote Sensing 2012, ACRS 2012

All Science Journal Classification (ASJC) codes

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