1. 基于多元回归模型的GB - SAR 监测误差改正及形变分析.
- Author
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毛亚纯, 曹 旺, 赵占国, and 徐茂林
- Subjects
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SYNTHETIC aperture radar , *SYNTHETIC apertures , *TIME series analysis , *ERROR correction (Information theory) , *REGRESSION analysis , *SUPERPOSITION (Optics) , *PIXELS , *IRON - Abstract
Aiming at the key problem of low precision of the deformation data due to the inaccurate correction of the original image interference phase error based on the ground-based synthetic aperture radar(GB-SAR) in open pit slope, the sources and distribution characteristics of interference phase error in original image were analyzed with the original GB-SAR image of Malanzhuang open-pit iron mine as the data source. The method of extracting PS points and high-quality PS points by using triple threshold was also proposed. In addition, a multi-regression model was established based on the high-quality PS point phase and pixel coordinates. According to the model, the PS point phase was corrected to obtain the accurate deformation phase and the single image deformation, and the superposition deformation analysis was performed on the time series. The results show that the GB-SAR deformation monitoring error correction method based on multiple regression model can accurately correct the GB-SAR deformation monitoring error and improve the accuracy of deformation monitoring data. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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