Landslide monitoring by corner reflectors differential interferometry SAR
Landslide monitoring by corner reflectors differential interferometry SAR
复制标题
通过角反射器差分干涉SAR进行滑坡监测
DOI：
10.1080/01431160903413713
复制
发表时间：
2010-01-01
影响因子：
3.4
通讯作者：
Guo, Xiaofang
中科院分区：
文献类型：
--
作者：
Fu, Wenxue;Guo, Huadong;Guo, Xiaofang
尽管差分干涉合成孔径雷达（DInSAR）技术具有以毫米级精度监测地面变形的潜力，但它仍然存在时间和几何去相关的问题。本文采用角反射镜差分干涉合成孔径雷达(CRDInSAR)技术来克服传统DInSAR的局限性。研究了CRDInSAR的基本原理，讨论了基于卫星和角反射器几何形状的平坦地球和地形相位的计算，提出了角反射器稀疏网格的相位展开方法，然后研究了展开相位系统方程的构造和求解。随后，我们应用CRDInSAR监测中国湖北省舒坪滑坡的位移。在这项研究中，我们处理了2005年9月至2006年3月环境卫星（ENVISAT）先进合成孔径雷达（ASAR）传感器在下降通道上获取的五张SAR图像，并将CRDInSAR所取得的结果与假设SAR数据采集同时进行的全球定位系统（GPS）测量作为参考进行比较。结果表明两种不同技术提供的测量结果具有良好的一致性，这表明 CRDInSAR 可以监测低相干区域的缓慢滑坡变形并提供准确的结果。
Although the differential interferometric synthetic aperture radar (DInSAR) technique has the potential for monitoring ground deformation with millimetric accuracy, it still suffers from temporal and geometric decorrelation. In this paper, the corner reflectors differential interferometry synthetic aperture radar (CRDInSAR) technique was used to overcome the limitations of conventional DInSAR. We studied the basic principles of CRDInSAR, discussed the calculation of the flat earth and topographic phases based on the geometry of satellite and corner reflectors, presented the phase unwrapping approach for the sparse grid of corner reflectors, then investigated the construction of, and solution to, the unwrapped phase system equation. Subsequently, we applied CRDInSAR to monitor the displacement of the Shuping landslide in Hubei Province, China. In this study, we processed five SAR images on a descending pass acquired by the Environmental Satellite (ENVISAT) Advanced Synthetic Aperture Radar (ASAR) sensor from September 2005 to March 2006, and compared the achieved results of CRDInSAR with Global Positioning System (GPS) measurements at the same time of the SAR data acquisition assumed as reference. The result indicates a good agreement between the measurements provided by the two different techniques, which shows that CRDInSAR allows monitoring of slow landslide deformation in low coherence areas and provides accurate results.