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| 基于PSInSAR方法和ASAR数据监测天津地面沉降的试验研究 | |
| 引用本文： | 范景辉,李梅,郭小方,葛大庆,刘圣伟,刘广,郭华东.基于PSInSAR方法和ASAR数据监测天津地面沉降的试验研究[J].国土资源遥感,2007,18(4):23-27. |
| 作者姓名： | 范景辉 李梅 郭小方 葛大庆 刘圣伟 刘广 郭华东 |
| 作者单位： | 1. 遥感科学国家重点实验室,中国科学院遥感应用研究所,北京,100101;中国科学院研究生院,北京,100049;中国国土资源航空物探遥感中心,北京,100083 2. 中国地质大学(北京)地球物理与信息技术学院,北京,100083 3. 中国国土资源航空物探遥感中心,北京,100083 4. 遥感科学国家重点实验室,中国科学院遥感应用研究所,北京,100101;中国科学院研究生院,北京,100049 5. 遥感科学国家重点实验室,中国科学院遥感应用研究所,北京,100101 |
| 基金项目： | 中国地质调查局区域地质调查项目 |
| 摘 要： | 概述了PSInSAR方法的技术流程，阐述了定标ENVISAT ASAR数据对PS候选点（Persistent Scatterer Cadidate，PSC）筛选
的作用。研究表明：对ENVISAR ASAR 数据进行定标有助于筛选出更多的PS候选点；以定标得到的后向散射系数作为阈值，可以剔
除散射信号统计特性较稳定但散射强度低的像素点，从而避免可能由这些点引入的相位误差。在初步实现PSInSAR方法的基础上，
运用14景ENVISAT ASAR数据获得了天津地区的年均线性沉降速率，揭示的天津市地面沉降趋势与前人研究结果较为一致，获得的形
变速率值的准确性尚待数据量的增多而进一步提高。 |
| 关 键 词： | ,PSInSAR,地面沉降,定标,ASAR |
| 文章编号： | 1001-070X（2007）04-0023-05 |
| 收稿时间： | 2007-08-20 |
| 修稿时间： | 2007-10-20 |
A PRELIMINARY STUDY OF THE SUBSIDENCE IN TIANJIN AREA USING ASAR IMAGES BASED ON PSInSAR TECHNIQUE |
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| FAN Jing-hui,LI Mei,GUO Xiao-fang,GE Da-qing,LIU Sheng-wei,LIU Guang,GUO Hua-dong.A PRELIMINARY STUDY OF THE SUBSIDENCE IN TIANJIN AREA USING ASAR IMAGES BASED ON PSInSAR TECHNIQUE[J].Remote Sensing for Land & Resources,2007,18(4):23-27. | |
| Authors: | FAN Jing-hui LI Mei GUO Xiao-fang GE Da-qing LIU Sheng-wei LIU Guang GUO Hua-dong |
| Institution: | 1.State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Beijing 100101, China; 2. Graduate School of Chinese Academy of Sciences, Beijing 100049, China; 3. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China; 4. School of Geophysics and Geoinformation Technology, China University of Geoscience, Beijing 100083, China |
| Abstract: | By identifying temporarily stable natural reflectors or persistent scatterers (PS), the PSInSAR (Persistent Scatterers for SAR Interferometry) technique can analyze the subset of pixels in SAR images, even with long temporal and space baselines, so as to achieve high accuracy deformation measurement. The authors adopted the PSInSAR process briefly summarized in this paper and applied this method in Tianjin area to detect the deformation phenomena by using ENVISAT ASAR images. Calibration of ASAR images can help us select more PSCs. Using calibrated backscattering coefficient threshold, we can discard the pixels whose amplitudes are relatively stable and whose backscattered signals are weak and incoherent. The results obtained by processing 14 images show the distribution and the relative deformation value of the displacement field. The estimated linear velocities of PS are not accurate enough because of the relatively small number of images. |
| Keywords: | PSInSAR Subsidence Calibration ASAR |
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