uemin, ZHU Jianjun, WANG Changcheng, YI Heng. A New Method for CR Point Identification and It's Application to Highway Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 699-703.
Citation:
uemin, ZHU Jianjun, WANG Changcheng, YI Heng. A New Method for CR Point Identification and It's Application to Highway Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 699-703.
uemin, ZHU Jianjun, WANG Changcheng, YI Heng. A New Method for CR Point Identification and It's Application to Highway Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 699-703.
Citation:
uemin, ZHU Jianjun, WANG Changcheng, YI Heng. A New Method for CR Point Identification and It's Application to Highway Deformation Monitoring[J]. Geomatics and Information Science of Wuhan University, 2011, 36(6): 699-703.
1 School of Info-Physics and Surveying Engineering,Central South University,South Lushan Road,Changsha 410083,China;2 School of Traffic and Transportation Engineering,Changsha University of Science and Technology,960 Second Section,South Wanjiali Road,Changsha 410004,China
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.
DownLoad: