子视干涉图相关分析InSAR对流层误差校正

InSAR tropospheric error correction by correlation analysis of sub-aperture interferograms

针对重轨InSAR测量中对流层延迟误差难以去除的问题,以InSAR地形测绘为例,结合子孔径分解技术与小波多分辨率相关分析方法,提出了一种子视干涉图相关性分析InSAR对流层延迟校正方法。利用不同地形条件下的单基线ALOS-1 PALSAR数据进行DEM提取实验,并以ICESat-2地面测高数据进行精度验证,结果表明:新方法校正对流层延迟后的InSAR DEM精度提升30%,显著提升了InSAR技术的测高精度;无需依赖任何外部水汽数据,新方法仅采用单基线InSAR数据,实现了对流层延迟误差探测与去除,为提升未来重轨星载SAR系统的测量精度提供了一种可行的技术方案。

In order to solve the problem that the tropospheric delay error is difficult to remove in the repeat-pass InSAR measurement,this paper takes InSAR terrain mapping as an example and proposes a tropospheric delay correction method by correlation analysis of sub-aperture interferograms,combining sub-aperture division and wavelet multi-resolution correlation analysis techniques.Using single baseline ALOS-1 PALSAR data under different terrain conditions,experiments were conducted to extract Digital Elevation Models(DEM),and the accuracy was validated using ICESat-2 ground elevation data.The results demonstrate that:the new method improves the accuracy of the InSAR DEM by 30%,significantly enhancing the height measurement accuracy of InSAR technology;the new method detects and eliminates tropospheric delay errors using only single baseline InSAR data without relying on any external water vapor data,providing a feasible technical solution to improve the measurement accuracy of future repeat-pass SAR systems.