DEM extraction and accuracy analysis of ancient landslide based on InSAR Technology

Guangtong Sun; Yonghong Zhang; Ping Song; Xiaoyang Liu; Meiling Long

doi:10.1117/12.2634667

12 May 2022 DEM extraction and accuracy analysis of ancient landslide based on InSAR Technology

Guangtong Sun, Yonghong Zhang, Ping Song, Xiaoyang Liu, Meiling Long

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731Q (2022) https://doi.org/10.1117/12.2634667
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

The traditional surveying and mapping of ancient landslide is mainly based on GPS, which has high precision but low efficiency. As a new remote sensing technology, synthetic aperture radar interferometry (InSAR) has developed into one of the effective means to quickly obtain high-precision digital elevation model. In this paper, the shenjiazui ancient landslide formed by the Haiyuan earthquake in 1920 is taken as the research object. The elevation information of the ancient landslide is obtained by three means: field RTK measurement, DEM extraction based on Sentinel-1A radar data and SRTM download. The DEM accuracy is compared by three methods: checkpoint method, profile method and contour playback method. Through the precision comparison and analysis, it is found that the DEM extracted by Sentinel-1A is in good agreement with the DEM measured by field RTK. The mean error is within 0.6m and the mean square error is within 9m, which is much better than the currently disclosed SRTM precision. It can quickly, widely and accurately obtain the surface 3D data and apply it to the 3D modeling of ancient landslide.

Citation Download Citation

Guangtong Sun, Yonghong Zhang, Ping Song, Xiaoyang Liu, and Meiling Long "DEM extraction and accuracy analysis of ancient landslide based on InSAR Technology", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731Q (12 May 2022); https://doi.org/10.1117/12.2634667

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KEYWORDS

Landslide (networking)

Interferometric synthetic aperture radar

Error analysis

Earthquakes

3D modeling

Analytical research

Data processing

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