摘要
合成孔径雷达干涉测量(In SAR)技术在提取大区域、缓慢地表形变时一个主要限制因素是大气延迟误差。传统的干涉测量方法有时很难将大气垂直分层延迟与轨道误差、形变信号分离,在有些地区残余分层延迟甚至可以达到形变幅度,容易模糊形变相位。针对这一问题,选取美国Las Vegas地区为研究区,在大气模型识别大气延迟组分特征的基础上,采用多尺度分解方法评估大气垂直分层延迟,可以有效缓解时序干涉测量中的大气垂直分层延迟。
Atmospheric delay is one of the main limiting factors for extracting groundsurface deformation with small rate over a large area with Interferometric Synthetic Aperture Radar(InSAR) technology. The delay consists of two components:the stratified component and the turbulent component. Stratified atmosphere delay can be plagued by both orbital error and deformation signal. It is difficult to separate this component by traditional interference methods. The residual error of stratified atmosphere delay sometimes could reach the range of deformation in some regions, which seriously impacts the accuracy of SAR interferometry measurement. A multi-scale decomposition tech- nique is proposed to evaluate stratified atmosphere delay, based on recognition of atmospheric components using North America NARR model. The results demonstrate that the method can effectively reduce the stratified compo- nents in InSAR interferometric phase.
出处
《大地测量与地球动力学》
CSCD
北大核心
2014年第6期102-108,共7页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金项目(41130744
41171335
41201376)
国家973计划项目(2012CB723403)
北京市自然科学基金项目(8133050)