3D reconstruction and error analysis of multi-view space-borne SAR images under different configurations

• Main Authors: Chao Wang, Xiaolan Qiu, Fangfang Li, Bin Lei
• Format: Article
• Language: English
• Published: Wiley 2019-07-01
• Series: The Journal of Engineering
• Subjects: synthetic aperture radar; spaceborne radar; image reconstruction; error analysis; radar imaging; image matching; multiview SAR images; positioning equations; multiview 3D reconstruction; parallel trajectories; different incident angles; parameter error; multiview SAR 3D reconstruction; general 3D reconstruction equations; solution method; analysis method; error sensitivity; position; sensor accuracy; applying 3D reconstruction; multiview space-borne SAR images; good ability; microwave scattering characteristics; good capability; slant range Doppler positioning
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0433

Synthetic aperture radar (SAR) has a good ability to detect the microwave scattering characteristics of the target and has a good capability of slant range Doppler positioning. Using multi-view SAR images in combination with image matching and positioning equations, the 3D position of the target can be obtained. In the past, multi-view 3D reconstruction mainly used side-looking images with parallel trajectories but different incident angles. That method is not universal for different configurations and lacks analysis of the relationship between solution and parameter error. This study aims at the problem of multi-view SAR 3D reconstruction. The authors establish general 3D reconstruction equations that can be used for non-parallel track and non-side-looking and the solution method is deduced. Based on this, an analysis method of error sensitivity is proposed and the dependence relationship between the reconstruction error and configuration, velocity, position, and slant range is analysed. The correctness of this method is verified by simulation experiments, which provides guidance for selection of configuration and sensor accuracy when applying 3D reconstruction.