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
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.
唐菲菲, 阮志敏, 张亚利, 彭丽. 基于机载LiDAR和GIS数据的建筑物变化信息自动检测方法[J]. 国土资源遥感, 2016, 28(1): 57-62.
TANG Feifei, RUAN Zhimin, ZHANG Yali, PENG Li. Automatic detection of change information for buildings based on airborne LiDAR and GIS data. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(1): 57-62.
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