Building reconstruction from LIDAR data and aerial imagery

Liang Chien Chen, Tee Ann Teo, Jiann Yeou Rau, Jin King Liu, Wei Chen Hsu

研究成果: Conference contribution

51 引文 斯高帕斯(Scopus)

摘要

This paper presents a scheme for building detection and reconstruction by merging LIDAR data and aerial imagery. In the building detection part, a region-based segmentation and object-based classification are integrated. In the building reconstruction, we analyze the coplanarity of the LIDAR point clouds to shape roofs. The accurate positions of the building walls are then determined by integrating the edges extracted from aerial imagery and the plane derived from LIDAR point clouds. The three dimensional building edges are thus used to reconstruct the building models. In the reconstruction, a patented method SMS (Split-Merge-Shape) is incorporated. Having the advantages of high reliability and flexibility, the SMS method provides stable solution even when those 3D building lines are broken. LIDAR data acquired by Leica ALS 40 and aerial images were used in the validation. Experimental results indicate that the successful rate for building detecition is higher that 81%. The positioning for buildings may reach sub-meter accuracy.

原文English
主出版物標題25th Anniversary IGARSS 2005
主出版物子標題IEEE International Geoscience and Remote Sensing Symposium
頁面2846-2849
頁數4
DOIs
出版狀態Published - 2005 十二月 1
事件2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
持續時間: 2005 七月 252005 七月 29

出版系列

名字International Geoscience and Remote Sensing Symposium (IGARSS)
4

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
國家/地區Korea, Republic of
城市Seoul
期間05-07-2505-07-29

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 地球與行星科學(全部)

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