Deformation extraction of building facade using ground-based interferometric synthetic aperture radar assisted by 3D laser scanning technology

Bin Zhang; Hang Duan; Peng Wang; Chuanfang Ke; Licheng Ge; Weicheng Li

doi:10.1117/12.3021074

19 January 2024 Deformation extraction of building facade using ground-based interferometric synthetic aperture radar assisted by 3D laser scanning technology

Bin Zhang, Hang Duan, Peng Wang, Chuanfang Ke, Licheng Ge, Weicheng Li

Author Affiliations +

Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129801E (2024) https://doi.org/10.1117/12.3021074
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China

Abstract

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

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Bin Zhang, Hang Duan, Peng Wang, Chuanfang Ke, Licheng Ge, and Weicheng Li "Deformation extraction of building facade using ground-based interferometric synthetic aperture radar assisted by 3D laser scanning technology", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129801E (19 January 2024); https://doi.org/10.1117/12.3021074

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