摘要
提出了一种基于强度与相关系数综合评定指数的人工角反射器（CR）点目标识别方法。应用该方法在获取的5幅研究区域SAR影像上分别查找CR点位置,并将不同影像上相邻CR点间的距离进行比较以验证结果的准确性。利用这些CR点对高速公路进行形变监测,成功获得了其在2008~2009年间的形变量,得到了与水准实测数据较为吻合的形变结果。
We apply the corner reflector interferometric synthetic aperture radar（CR-InSAR） to the monitoring of highway.Because the traditional method has large uncertainty in estimating the row and column information of corner reflector（CR） points,we present a method for CR point identification,which is based on the comprehensive assessment index of the intensity and correlation coefficient.This method is used to find the CR points in the five SAR images of the study areas respectively,and the distances between the two consecutive CR points in different SAR images are used to verify the accuracy of the results.Finally,we monitor the deformation of the highway using these identified CR points and acquires the displacement in the period of 2008 ~2009,which are accordant very well with that of leveling.The results show that the CR point identification method presented is effective and reliable in highway deformation monitoring.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2011年第6期699-703,共5页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2006AA12Z156)
国家自然科学基金资助项目(40774003,40974006)
