北京大学学报自然科学版 ›› 2025, Vol. 61 ›› Issue (1): 111-120.DOI: 10.13209/j.0479-8023.2024.122

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Sentinel-1卫星InSAR干涉图大气校正方法对比——以西藏中部地区为例

樊文智, 王腾   

  1. 北京大学地球与空间科学学院, 北京 100871
  • 收稿日期:2024-01-29 修回日期:2024-04-18 出版日期:2025-01-20 发布日期:2025-01-20
  • 通讯作者: 王腾, E-mail: wang.teng(at)pku.edu.cn
  • 基金资助:
    国家自然科学基金(42021003)资

Comparison of Atmospheric Correction Methods for InSAR Interferograms of Sentinel-1 Satellite: Taking the Central Tibet as an Example

FAN Wenzhi, WANG Teng   

  1. School of Earth and Space Sciences, Peking University, Beijing 100871
  • Received:2024-01-29 Revised:2024-04-18 Online:2025-01-20 Published:2025-01-20
  • Contact: WANG Teng, E-mail: wang.teng(at)pku.edu.cn

摘要:

为了评估不同大气校正方法在合成孔径雷达干涉测量技术(InSAR)的形变速率, 尤其是时序形变解算中的适用性, 介绍两种典型的 InSAR大气校正方法——InSAR通用大气校正在线服务(GACOS)和公共影像堆叠法(common-scene-stacking)的计算原理。以西藏中部为研究区域, 将两种方法用于InSAR干涉图的大气校正, 从时序上评估两者的表现, 展示其对超过1年的长时间基线干涉图的大气校正效果, 最终得到西藏中部地表变形场。结果显示, 对于单个干涉图, 公共影像堆叠法的大气校正效果明显优于结果不稳定的 GACOS, 可以让标准差下降60%以上。在时序上, 两种方法提供的大气延迟趋势类似 , 但具体数值相差很大。GACOS对InSAR时序结果起到改善作用, 可以根据实际需要, 按照两者的优劣进行取舍或结合。

关键词:  InSAR, 大气校正, GACOS, 公共影像堆叠法, 西藏中部

Abstract:

In order to evaluate the applicability of different atmospheric correction methods to the deformation rate of interferometric synthetic aperture radar (InSAR) technology, especially in the time series deformation calculation, the principles of two typical InSAR atmospheric correction methods, namely the Generic Atmospheric Correction Online Service for InSAR (GACOS) and common-scene-stacking, are introduced. Taking the central Tibet as the study area, the two methods are applied to the atmospheric correction of InSAR interferograms to evaluate their performance in time series. The atmospheric correction effect on long-term baseline interferograms of more than one year is presented, and finally, the equivalent cumulative deformations in central Tibet are derived. The results show that for a single interferogram, the atmospheric correction effect of the common-scene-stacking method is significantly better than that of GACOS with unstable results, and the common-scene-stacking method can reduce the standard deviation by more than 60%. In terms of time series, the atmospheric delay trends provided by the two methods are similar, but the specific values differ greatly. GACOS can improve the time series results of InSAR. It is recommended to choose one or a combination of the two methods according to actual needs, based on their advantages and disadvantages.

Key words: InSAR, atmospheric correction, GACOS, common-scene-stacking, central Tibet