通过多种INSAR技术监测高速公路变形
Dan Zhao1, Haonan Yao1, Xingyu Gu1
1College of Transportation, Southeast University, Nanjing 211100, China.
Sensors (Basel, Switzerland)
|May 25, 2024
概括
这项研究使用了三种交叉测量合成孔径雷达 (InSAR) 技术来监测G15沿海高速公路上的道路变形. 这些方法显示了一致的结果,证实了广泛的变形,并验证了InSAR用于道路健康评估的结果.
科学领域:
- 地质测量和遥感技术
- 地质技术工程 地质技术工程
- 监控民用基础设施 监控民用基础设施
背景情况:
- 道路基础设施面临大规模,不均的变形带来的挑战.
- 有效监测道路状况对于安全和维护至关重要.
- 江苏省G15沿海高速公路为变形分析提供了一个案例研究.
研究的目的:
- 通过多种干扰测量合成孔径雷达 (InSAR) 技术全面观察和分析道路变形.
- 评估监测高速公路状况的不同InSAR方法的一致性和可靠性.
- 为实时监控系统和道路健康评估提供基础.
主要方法:
- 使用了持久散射器InSAR (PS-InSAR),小基线子集InSAR (SBAS-InSAR) 和差分InSAR (DS-InSAR) 技术.
- 分析了2018年至2021年期间获得的73个图像数据集.
- 解释变形数据与地质和地形学特征相结合.
主要成果:
- 在G15沿海高速公路上发现了广泛的变形,包括关云北枢纽附近的重要定居点和古河桥附近的升起.
- 在所有三种技术中,在相邻区域观察到的最大变形速率超过10毫米/年.
- 显示了PS-InSAR,SBAS-InSAR和DS-InSAR的监测结果之间的高度相关性,平均差异低于2毫米/年.
结论:
- PS-InSAR,SBAS-InSAR和DS-InSAR的组合是道路变形监测的可行和可靠方法.
- 该研究验证了InSAR技术在评估道路健康方面的有效性.
- 这些发现支持建立关键基础设施的实时监控系统.
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