Automatic detection of change information for buildings based on airborne LiDAR and GIS data

doi:10.6046/gtzyyg.2016.01.09

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Abstract

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

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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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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2016.01.09 OR https://www.gtzyyg.com/EN/Y2016/V28/I1/57

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