| CRInSAR与PSInSAR联合探测区域线性沉降研究 |
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| 引用本文： | 邢学敏,丁晓利,朱建军,汪长城,丁伟,杨亚夫,王永哲.CRInSAR与PSInSAR联合探测区域线性沉降研究[J].地球物理学报,2011,54(5):1193-1204. |
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| 作者姓名： | 邢学敏 丁晓利 朱建军 汪长城 丁伟 杨亚夫 王永哲 |
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| 作者单位： | 1. 中南大学 信息物理工程学院,长沙 410083;
2. 香港理工大学 土地测量与地理资讯,香港 九龙 |
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| 基金项目： | 国家863计划资助项目，国家自然科学基金 |
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| 摘 要： | 本文提出一种CRInSAR与PSInSAR联合解算算法,并将该算法应用于区域线性沉降探测中.该算法将CR点上计算得出的形变速率值及高程改正值作为研究区域PS基线网络的约束,进而通过间接观测平差法估计出PS网沉降速率和高程改正值的全局最优解.算法实现了人工角反射器雷达干涉测量技术(CRInSAR)与永久散射体雷达干涉测量...
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| 关 键 词： | CRInSAR PSInSAR 沉降探测 矿区 |
| 收稿时间： | 2010-04-19 |
Detecting the regional linear subsidence based on CRInSAR and PSInSAR integration |
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| XING Xue-Min,DING Xiao-Li,ZHU Jian-Jun,WANG Chang-Cheng,DING Wei,YANG Ya-Fu,WANG Yong-Zhe.Detecting the regional linear subsidence based on CRInSAR and PSInSAR integration[J].Chinese Journal of Geophysics,2011,54(5):1193-1204. |
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| Authors: | XING Xue-Min DING Xiao-Li ZHU Jian-Jun WANG Chang-Cheng DING Wei YANG Ya-Fu WANG Yong-Zhe |
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| Institution: | 1. School of Info-Physics and Geomatics Engineering, Central South University, Changsha 410083, China;
2. Dept. of Land Surveying & Geo-Informatics, the Hong Kong Polytechnic University, Hong Kong |
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| Abstract: | The paper presents a CRInSAR and PSInSAR federative calculation algorithm, and applies it to the monitoring of regional linear subsidence. With use of the subsidence rates and elevation corrections calculated on the CR points as constraint for the PS network over the study area, the algorithm estimates the global optimum solutions of subsidence rates and elevation corrections in the PS network using the parametric adjustment method. The algorithm achieves the integration of CRInSAR and PSInSAR effectively. The author uses the PALSAR data over Henan province to validate the algorithm and extract the subsidence rates and elevation corrections successfully. The results show that the algorithm can avoid the trouble of choosing reference point, add the redundant observations in the step of spatial unwrapping through PS baselines. The precision of the velocities on the PS points is improved a lot compared to that of traditional algorithm. The displacement is accordant better with that of leveling. The distribution of mine in the area also agrees well with the subsidence area detected, thus the algorithm can be more widely and effectively applied in detecting regional ground subsidence and even the monitoring of mining area. |
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| Keywords: | CRInSAR PSInSAR Subsidence Detecting Mine |
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