Fusion of LIDAR data and large-scale vector maps for building reconstruction

Liang Chien Chen, Chih Yi Kuo, Jiann Yeou Rau, Chi Heng Hsieh

研究成果: Conference contribution

摘要

LIDAR data contains plenty of height information, while vector maps preserve accurate building boundaries. From the viewpoint of data fusion, we integrate LIDAR data and large-scale vector maps to perform building modeling. The proposed scheme comprises six major steps: (1) preprocessing of LIDAR data and vector maps, (2) extraction of point clouds that belong to a building, (3) construction of the facets from the point clouds, (4) detection of planar faces, (5) determination of 3-D edges of buildings, and (6) regularization of 3-D edges and building reconstruction. In the preprocessing stage, the height variation of the aboveground objects is extracted by subtracting the surface elevation from the terrain. The polygons for buildings are also obtained from the polylines using the SMS method. Using the vertex locations and rough heights of stories, the point clouds that belong to a building can be selected. Then a triangulated irregular network is built for representing the facets of the point clouds. Segmentation of planar faces is implemented by examining the size and the angles among surface normal vectors. After detection for planar roof faces, 3-D roof edges are determined by intersecting roof planes. Finally, building models are reconstructed after regularization.

原文English
主出版物標題Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
頁面871-877
頁數7
出版狀態Published - 2005 十二月 1
事件26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC - Ha Noi, Viet Nam
持續時間: 2005 十一月 72005 十一月 11

出版系列

名字Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005
2

Other

Other26th Asian Conference on Remote Sensing, ACRS 2005 and 2nd Asian Space Conference, ASC
國家Viet Nam
城市Ha Noi
期間05-11-0705-11-11

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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