Method for solving three-dimensional deformation rates considering quantitative analysis of geometric distortion in SAR imagery
In view of the limited spatial scale coverage and sparse points of traditional monitoring methods,becoming an important means for early identification and monitoring of potential geological hazards in the southern loess region of Ningxia,where the terrain varies greatly,and geological disasters occur frequently,the small baseline subset interferometric synthetic aperture rader(SBAS-InSAR)method was used to process the descending track data of Radarsat-2 and the ascending and descending track data of Sentinel-1 in Guyuan City of Ningxia in this paper.The geometric distortion values of synthetic aperture radar(SAR)data sources were obtained based on the ratio of the image pixel distance length to the actual ground pixel distance,and then the landslide three-dimensional deformation rate was estimated according to the geometric distortion values.The results showed that the three-dimensional deformation rate of landslides was estimated by geometric distortion weighting.Compared with the unit weighting method,the maximum residual value of the two landslides was reduced from 1.259 and 1.774 cm/a to 0.737 and 1.262 cm/a respectively;the overall deformation coordinate axis accuracy was improved by 2 mm/a.This research could provide a reference for solving the three-dimensional deformation rate in areas with large terrain fluctuations.
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