Analysis of Multiple Scattering Characteristics of Cable-Stayed Bridges with Multi-band SAR

Yanhao Xu, Yangmao Wen, Tao Li, Sijie Ma, Jie Liu
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Abstract

Abstract. Accurate localization of multi-scattering features of cable-stayed bridges in multi-band Synthetic Aperture Radar (SAR) imagery is crucial for intelligent recognition of bridge targets within images, as well as for precise water level extraction. This study focuses on the Badong Yangtze River Bridge, utilizing Unmanned Aerial Vehicle (UAV) LiDAR data of the bridge, and analyzes the multi-scattering characteristics of different bridge structural targets based on Geometric Optics (GO) methods and the Range-Doppler principle. Furthermore, the study integrates LiDAR data of the bridge's cable-stays to examine their multi-scattering phenomena, finding that the undulations of the Yangtze River's surface waves significantly contribute to the pronounced double scattering features of the bridge's cable-stays. Additionally, statistical analysis of multi-source SAR data indicates that this phenomenon is not directly correlated with radar wavelength, implying no direct connection to surface roughness. Utilizing LiDAR point cloud data from the bridge's street lamps, this paper proposes a novel method for estimating water level elevation by identifying the center position of spots formed by double scattering from lamp posts. The results show that using TerraSAR ascending and descending orbit images, this method achieves a water level elevation accuracy of approximately 0.2 meters.
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利用多波段合成孔径雷达分析斜拉桥的多重散射特性
摘要精确定位多波段合成孔径雷达(SAR)图像中斜拉桥的多散射特征对于智能识别图像中的桥梁目标以及精确提取水位至关重要。本研究以巴东长江大桥为研究对象,利用无人机(UAV)获取的大桥激光雷达数据,基于几何光学(GO)方法和测距-多普勒原理,分析了不同桥梁结构目标的多重散射特征。此外,研究还整合了大桥斜拉索的激光雷达数据,对其多重散射现象进行了研究,发现长江表面波的起伏极大地促进了大桥斜拉索明显的双重散射特征。此外,对多源合成孔径雷达数据的统计分析表明,这种现象与雷达波长没有直接关系,这意味着与表面粗糙度没有直接联系。本文利用大桥路灯的激光雷达点云数据,提出了一种新方法,通过识别灯柱双重散射形成的光斑中心位置来估算水位高程。结果表明,利用 TerraSAR 上升和下降轨道图像,该方法可实现约 0.2 米的水位标高精度。
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