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REMOTE SENSING FOR LAND & RESOURCES    2016, Vol. 28 Issue (1) : 57-62     DOI: 10.6046/gtzyyg.2016.01.09
Technology and Methodology |
Automatic detection of change information for buildings based on airborne LiDAR and GIS data
TANG Feifei1,2,3, RUAN Zhimin4, ZHANG Yali1, PENG Li1
1. School of Civil Engineering, Chongqing University, Chongqing 400045, China;
2. Civil Engineering Postdoctoral Research Station, Chongqing University, Chongqing 400045, China;
3. Postdoctoral Workstation, Chongqing Survey Institute, Chongqing 400020, China;
4. China Merchants Chongqing Communications Research & Design Institute Co Ltd, Chongqing 400067, China
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The change information of buildings is vital for map updating and statistics of geographical features. First, the information of buildings was extracted from airborne LiDAR data and the edges of buildings were detected by the alpha-shapes algorithm. Then the edges were compared with those in GIS vector data using multi-level change detection strategy to detect the slight changes of buildings automatically. The experiment results show that not only qualitative change detection can be accomplished but also the quantitative statistics of changed features can be obtained, with the accuracy of detection results reaching 95%. Compared with previous methods based on image, this method has advantages of high automation, simple processing procedures and high efficiency.

Keywords InSAR      TerraSAR-X      IPTA      subsidence monitorying      linear structure     
:  P237  
Issue Date: 27 November 2015
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DING Rongrong
XU Jia
LIN Xiaobin
XU Kang
Cite this article:   
DING Rongrong,XU Jia,LIN Xiaobin, et al. Automatic detection of change information for buildings based on airborne LiDAR and GIS data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 57-62.
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