基于多要素大气延迟改正的InSAR地面沉降监测研究

英文篇名：Study on Land Subsidence Monitoring by InSAR Based on Multi-element Atmospheric Delay Correction Model
中文刊名：灾害学
英文刊名：Journal of Catastrophology
作者：刘严萍 ; 王勇 ; 张立辉
英文作者：Liu Yanping1 ; Wang Yong2 ; Zhang Lihui2(1.School of Civil Engineering ; Central South University ; Changsha 410075 ; China ; 2.Hebei Researching Center of Earthquake Engineering ; Tangshan 063009 ; China)
中文关键词：对流层延迟 ; 全球定位系统 ; 合成孔径雷达干涉测量 ; 地面沉降
英文关键词：tropospheric delay ; GPS ; InSAR ; land susidence
出版日期：2013-07-20
机构：中南大学土木工程学院;河北省地震工程研究中心;
年：2013
期：03
出版单位：灾害学

摘要

同区域不同期SAR数据时间的大气延迟差异是影响SAR干涉测量的最主要因素之一。以北京主城区作为研究区域,综合地形和气象要素,将BP神经网络技术用于GPS对流层延迟内插,并用于InSAR大气延迟改正研究。实验证明,经与GPS沉降量相比较,该方法优于克里金插值法,大气延迟双差改正结果用于InSAR大气效应改善,可有效提高InSAR处理精度。
Atmospheric delay differences of SAR time data of one region in different time periods influences the interference measurement of SAR majorly.The main urban area in Beijing is selected as the study area,combining with terrain and meteorological element,and BP neural network technology is used for GPS tropospheric delay interpolation and InSAR tropospheric delay correction study.It shows that the predicted results of terrain and meteorological elements are better than Kriging interpolation method which the interpolation accuracy is suitable for tropospheric delay correction.The double difference correction of tropospheric delay is used to remove InSAR atmospheric effect.Comparison between InSAR deformation and GPS deformation shows that GPS atmosphreic delay can improve the accuracy of InSAR.

引文

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