Abstract
In the rugged mountains, the undulations of the terrain will affect the geometric and radiation characteristics of SAR imaging, resulting in SAR image distortion, which hinders its comprehensive application in the field of land subsidence monitoring, landslide disaster monitoring and so on. This article takes ALOS PALSAR as an example, combined with satellite orbit fitting technology to optimize parameters, based on the R-D positioning model, using DEM to simulate SAR images and extract parameters such as local incident angle, projection angle, and backscatter coefficient. The simulated SAR image is used to achieve the ortho-rectification of the original SAR image. The calculation method of the local incidence and projection angles and the backscattering coefficient is used to construct the terrain radiation correction model of the SAR image. The experimental results show that the research method is significantly effective, the mean square error of the radiant intensity of the image after correction is significantly reduced, and the texture characteristics of the image are significantly enhanced. This has certain practical significance for the application researchon SAR image in information extraction, interpretation, quantitative analysis and parameter inversion.
Published Version
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