The typical GB-SAR image coordinate transformation approach conveniently ignores the impact of radar sensor attitude, resulting in an imaging projection plane that is not horizontal and bias in the 3D laser point cloud's slant range projection (SRP). This research proposes a point cloud SRP calculation approach that incorporates the radar attitude inclination and provides a detailed formula. To achieve deformation information extraction of the building façade, the high-quality pixels and point cloud projected using the exact formula are matched on this basis. The experimental analysis demonstrate that the suggested approach can reduce the impact of sensor attitude inclination, enhance the coordinate transformation precision of GB-SAR pixels, and offer assurance for the following integration and analysis of GB-SAR monitoring results with other technologies
The selection of high-quality point targets, such as persistent scatterer (PS), is very important for GB-SAR interfero-metry deformation inversion. Considering the limitation of single-threshold selection method of persistent scatterer (PS) point target for ground-based synthetic aperture radar (GB-SAR), a combined threshold selection method is proposed in this paper, and a quality assessment method for point target selection is designed to evaluate the effectiveness of the point selection. The efficiency of both the single-threshold method and the combined-threshold method was compared using the real-case continuous GB-SAR images in the Geheyan dam area. The analysis results demonstrate that the proposed threshold approach successfully integrates each of the single-threshold method's advantages. It achieves a higher selection rate of high-quality PS with lenient thresholds while also enhancing overall computational efficiency. This approach ensures robust support for subsequent time series analysis of GB-SAR interferometry.
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