分析了永久散射體合成孔徑雷達(dá)差分干涉測量(PS-DInSAR)引起相干性損失的主要影響因子，提出一種顧及大氣延遲變化差異的PS-DInSAR公用主影像的優(yōu)化選取方法,給出了具體的函數(shù)模型、建模思想及求解方法。借助天津地區(qū)歐空局ENVISAT(environmental satellite)衛(wèi)星ASAR(advanced synthetic aperture radar)影像和連續(xù)運(yùn)行GPS(global positioning system)永久監(jiān)測站數(shù)據(jù)為源數(shù)據(jù),采用Bernese 5.0和Matlab7.1及Shell自編程序等開展了融合GPS數(shù)據(jù)的公用主影像的優(yōu)化選取實(shí)驗(yàn)。實(shí)驗(yàn)結(jié)果表明，融合GPS數(shù)據(jù)的模型相關(guān)系數(shù)法能準(zhǔn)確快速地從多幅SAR影像中選出最優(yōu)公用主影像，為PS-DInSAR的高精度形變監(jiān)測奠定了基礎(chǔ)。
關(guān)鍵詞：永久散射體雷達(dá)差分干涉測量；數(shù)據(jù)融合；優(yōu)化選取；公用主影像

Method for Optimum Selection of Common Master Acquisition for PS-DInSAR Fusing GPS Data

Abstract:? The major factors resulting in the loss of correlation in permanent scatterer synthetic aperture radar differential interferometry were analyzed; a method considering atmospheric delay variety differences is adopted to optimally select the common master image for PS-DInSAR. Its specific function model, modeling principle and solution are provided. The original data came from continuous GPS permanent station and ENVISAT satellite ASAR images in Tianjin area from European Space Agency. Bernese 5.0, Matlab7.1 and Shell programs are used to test the optimum selection of common master image fusing GPS data. The experiment shows the model correlation coefficient method fusing GPS data can select the optimal common master image from many SAR images rapidly and correctly, which guarantees the high-precision PS-DInSAR deformation survey.
Key words: Permanent Scatterer Synthetic Aperture Radar Differential Interferometry; Data fusing; Optimum selection, Common master acquisition