PS InSAR公共主影像优化选取的一种新方法

基金项目: 国家863计划资助项目(2009AA12Z147);国家自然科学基金资助项目(40874001);山东省自然科学基金资助项目(ZR2010DQ020);对地观测技术国家测绘局重点实验室经费资助项目(K201010)

详细信息

A New Method to Optimize and Select Common Master Images in PS InSAR

¹ College of Geodesy and Geomatics,Shandong University of Science and Technology,579 Qianwangang Road,Qingdao 266510,China

Funds: 国家863计划资助项目(2009AA12Z147);国家自然科学基金资助项目(40874001);山东省自然科学基金资助项目(ZR2010DQ020);对地观测技术国家测绘局重点实验室经费资助项目(K201010)

摘要: 在原有的公共主影像优化选取模型的基础上,对影响干涉图相关性的3个主要参数进一步综合优化,提出并实现了一种基于三基线和最小的公共主影像优化选取新方法。理论分析和实验结果表明,与原有方法相比,新的公共主影像优化选取方法简单、可行,选取的公共主影像合理、准确。
- PS InSAR /
- 干涉图相关性 /
- 公共主影像 /
- 优化选取
Abstract: A new method to optimize and select common master images based on the minimum sum of three baselines is presented and implemented,which further integrates and optimizes three main parameters of impacting the correlation of interferograms on the basis of the existing models.A contract experiment about optimal selection of common master images in PS InSAR is carried out with 19 ERS-1/2 SLC SAR images and 10 ENVISAT ASAR images.Theoretical analysis and the experimental results show that,compared with the existing method,the new method to optimize and select common master images is simple and practical,and the selected common master images are more reasonable and accurate.
- permanent scatterers InSAR /
- correlation of interferograms /
- common master images /
- optimal selection