时序Sentinel-1TOPS模式SAR数据精配准

doi:10.11947/j.AGCS.2021.20200082

测绘学报 ›› 2021, Vol. 50 ›› Issue (5): 634-640.doi: 10.11947/j.AGCS.2021.20200082

时序Sentinel-1TOPS模式SAR数据精配准

马张烽¹, 蒋弥², 丁琪瑄¹

1. 河海大学地球科学与工程学院, 江苏南京 211100;
2. 中山大学测绘科学与技术学院, 广东珠海 519082

收稿日期:2020-03-07 修回日期:2020-11-03 发布日期:2021-06-03
通讯作者: 蒋弥 E-mail:jiangmi@mail.sysu.edu.cn
作者简介:马张烽(1995-),男,博士生,研究方向为InSAR地壳形变监测及地球物理学建模。E-mail:jspcmazhangfeng@hhu.edu.cn
基金资助:
国家自然科学基金（42074008；41774003）

Time-series co-registration for Sentinel-1 TOPS SAR Data

MA Zhangfeng¹, JIANG Mi², DING Qixuan¹

1. School of Earth Sciences and Engineering, Hohai University, Nanjing 211100, China;
2. School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai 519082, China

Received:2020-03-07 Revised:2020-11-03 Published:2021-06-03
Supported by:
The National Natural Science Foundation of China (Nos. 42074008;41774003)

摘要/Abstract

摘要： Sentinel-1卫星星座采用TOPS作为默认成像模式，要求方位向配准精度达到0.001像素以便确保相邻burst干涉图的相位偏差小于3°。ESD技术是消除几何配准系统误差、纠正方位向配准偏移量的有效方法，但在低相干性场景或快速去相关的条件下，该方法配准精度会随着相干的降低而衰减，并导致配准误差的传播，造成干涉图出现相位跳变。为解决这一问题，本文提出一种TOPS模式数据时间序列配准方法。该方法在图论框架下采用Bellman-Ford单源最短路径算法最大化时间网络的相干性并确保网络中包含多余观测，进而削弱平差过程中的误差传播。本文采用模拟数据和覆盖关中平原的真实数据对现有时序配准方法进行了对比验证。结果表明，本文方法能够有效提高TOPS时序配准的精度。

关键词: TOPS, 配准, 相干性, Sentinel-1, SAR, 增强谱分集

Abstract: TOPS mode is the default imaging mode of Sentinel-1 satellites, which requires an overall azimuth co-registration accuracy of 0.001 pixels to ensure that the interferometric phase difference of consecutive bursts is less than 3°. Although the ESD technique is an effective method to correct the azimuth residual shift, the accuracy will decrease due to the abrupt loss of coherence. To solve this issue, this paper presents a method to improve the accuracy of TOPS co-registration by maximizing time-series coherence. The method focuses on selecting interferometric pairs with optimal coherence and simultaneously preserve the temporal network loops by Bellman-Ford algorithm. The improvement of network can reduce the error propagation caused by low coherence during the least-squares adjustment, and therefore improve the performance of ESD estimation. Based on synthetic data and real data covering the Weihe plain, we evaluate the performance of proposed method against the state-of-the-art techniques. The results demonstrate the effectiveness of the proposed method.

Key words: terrain observation by progressive scans, co-registration, coherence, Sentinel-1, synthetic aperture radar, enhanced spectral diversity

中图分类号:

P237

马张烽, 蒋弥, 丁琪瑄. 时序Sentinel-1TOPS模式SAR数据精配准[J]. 测绘学报, 2021, 50(5): 634-640.

MA Zhangfeng, JIANG Mi, DING Qixuan. Time-series co-registration for Sentinel-1 TOPS SAR Data[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(5): 634-640.

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时序Sentinel-1TOPS模式SAR数据精配准

Time-series co-registration for Sentinel-1 TOPS SAR Data

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