形变观测中小数据集PSInSAR的误差分析与初步应用

地震 ›› 2011, Vol. 31 ›› Issue (3): 92-102.

形变观测中小数据集PSInSAR的误差分析与初步应用

唐攀攀^1,2,3, 单新建², 王长林⁴, 张桂芳²

1.中国科学院遥感应用研究所, 北京 100010;
2.中国地震局地质研究所, 地震动力学国家重点实验室, 北京 100029;
3.中国科学院研究生院, 北京 100049;
4.中国科学院对地观测与数字地球中心, 北京 100094

收稿日期:2011-01-14 修回日期:2011-03-25 发布日期:2021-09-09
作者简介:唐攀攀(1985-), 男, 河南济源人, 硕士, 主要从事SAR干涉处理等研究。
基金资助:
国家科技支撑项目(2008BAC38B03); 国家自然科学基金(40874006); 国家行业专项(200708013); 中国地震局地质研究所基本科研经费(DF-IGCEA-0607-1-19 )共同资助

Error Analysis and Preliminary Application of PS InSAR in Deformation Detection on Small Stacks

TANG Pan-Pan^1,2,4, SHAN Xin-Jian², WANG Chang-Lin³, ZHANG Gui-Fang²

1. Institute of Remote Sensing Applications , CAS, Beijing 100010, China;
2. State Key Laboratory of Earthquake Dynamics, Institute of Geology, CEA, Beijing 100029, China;
3. Center of Earth Observation and Digital Earth, CAS , Beijing 100094, China;
4. Graduate School of CAS, Beijing 100049, China

Received:2011-01-14 Revised:2011-03-25 Published:2021-09-09

摘要/Abstract

摘要： PS InSAR技术在微小形变的监测中有着独特的优势, 但同时受到数据量的严重制约。本文以形变速率稳定的怀来县城为实验区, 利用15景ASAR数据, 依据主影像选择和高程改正选取了三种略有差异的模型分别进行PS处理, 并对形变提取中的相位解缠、基线改正和高程改正进行误差分析。结果表明, 小数据集的相位解缠和高程改正在部分PS点上容易发生错误, 但形变估计整体上能够正确反映实际情况。三个模型中MS(Multi-Reference Single Regression) 模型得出结果最为可靠。小数据集解算的整体PS点质量不高, 可以在满足PS点密度要求的前提下, 降低相位标准偏差阈值以提高解算的可靠性。

关键词: PS InSAR, 主影像, 高程改正, 相位解缠, 小数据集

Abstract: PS InSAR technique has a special advantage is in monitoring small crustal displacements, but its application is severely restricted by the number of images. This paper selects a town named Huailai which has a stable deformation rate as the test area. We choose three models based on the differences of reference image and height corrections to process 15 ASAR images with PS technique. Additionally, we analyse the errors of unwrapped phases, corrections of baselines and point heights. The result shows that for small stacks, the phases are unwrapped falsely on some points as well as the height corrections,but the deformation estimation is right in the whole. Among the three models, the result of Model Two (Multi-Reference Single Regression)is the most reliable. The quality of points is very low on the whole for small stacks, and the reliability of solution can be increased by lowering the phase standard deviation threshold.

Key words: PS InSAR, Reference image, Height corrections, Unwrap phase, Small stacks

中图分类号:

P315

唐攀攀, 单新建, 王长林, 张桂芳. 形变观测中小数据集PSInSAR的误差分析与初步应用[J]. 地震, 2011, 31(3): 92-102.

TANG Pan-Pan, SHAN Xin-Jian, WANG Chang-Lin, ZHANG Gui-Fang. Error Analysis and Preliminary Application of PS InSAR in Deformation Detection on Small Stacks[J]. EARTHQUAKE, 2011, 31(3): 92-102.