Sentinel-1数据在极化时序InSAR技术中的适用性分析

黄恒威; 吴希文; 王华

doi:10.12052/gdutxb.230102

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Sentinel-1数据在极化时序InSAR技术中的适用性分析

测绘科学与技术 | 更新时间：2026-05-27

- Sentinel-1数据在极化时序InSAR技术中的适用性分析
- An Applicability Analysis of Sentinel-1 Data in Polarization Time-series InSAR Technology
- 广东工业大学学报 2025年42卷第2期页码：103-111
- 作者机构：
  
  1. 广东工业大学信息工程学院,广东,广州,510006
  2. 广东工业大学土木与交通工程学院,广东,广州,510006
- 作者简介：
  
  黄恒威(1999–)，男，硕士研究生，主要研究方向为InSAR与地表形变监测，E-mail：154898503@qq.com
  吴希文(1983–)，男，教授，博士生导师，主要研究方向为InSAR与地表形变监测，E-mail：hayman.ng@foxmail.com
- 基金信息：
  
  国家自然科学基金资助面上项目(42274016);广东省林业科学数据中心项目(2021B1212100004);广东省自然科学基金资助项目(2021A1515011483)
- DOI：10.12052/gdutxb.230102
  中图分类号： TU196
- 纸质出版：2025
- 稿件说明：
移动端阅览
黄恒威, 吴希文, 王华. Sentinel-1数据在极化时序InSAR技术中的适用性分析[J]. 广东工业大学学报, 2025, 42(2): 103–111.

Huang Hengwei, Ng Alex Hay-Man, Wang Hua. An Applicability Analysis of Sentinel-1 Data in Polarization Time-series InSAR Technology[J]. 2025, 42(2): 103-111.
黄恒威, 吴希文, 王华. Sentinel-1数据在极化时序InSAR技术中的适用性分析[J]. 广东工业大学学报, 2025, 42(2): 103–111. DOI： 10.12052/gdutxb.230102

Huang Hengwei, Ng Alex Hay-Man, Wang Hua. An Applicability Analysis of Sentinel-1 Data in Polarization Time-series InSAR Technology[J]. 2025, 42(2): 103-111. DOI： 10.12052/gdutxb.230102.

摘要

Sentinel-1数据已经被广泛地应用于时序InSAR(Time-series Interferometric Synthetic Aperture Radar

TS-InSAR) 技术。为了分析Sentinel-1双极化数据在极化时序InSAR (Polarimetric Persistent Scatterer Interferometry

PolPSI) 技术中的适用性

本文基于47景Sentinel-1双极化影像，利用TS-InSAR技术和PolPSI技术对深圳市和中山市进行了地表形变监测。结果表明，使用了Sentinel-1数据的PolPSI技术可以通过分析像元的极化信息(散射机制或统计特性) 得到更多永久散射体(Persistent Scatterer

PS) 候选点；PolPSI技术在参考网络弧上的平均时间相干性较低，但该技术可以提供更多的高质量弧(时间相干性大于0.6)；PolPSI技术提高了城市地表监测中PS观测点的密度。综上所述，与TS-InSAR技术相比，利用了Sentinel-1数据的极化时序InSAR技术可以在城市地表提供更详细且更精确的形变监测信息。

Abstract

Sentinel-1 data have been widely applied in the Time-series Interferometric Synthetic Aperture Radar (TS-InSAR) technology. To assess the applicability of dual-polarization data from the Sentinel-1 satellite in Polarimetric Persistent Scatterer Interferometry (PolPSI) technology

based on 47 dual-polarization Sentinel-1 images

the surface deformation of Shenzhen and Zhongshan is monitored using both the TS-InSAR technology and the PolPSI technology. The results show that the PolPSI technology using Sentinel-1 data can identify a greater number of Persistent Scatterer (PS) candidates by analyzing the polarization information (scattering mechanism or statistical characteristic) of pixels. The PolPSI technology exhibits lower average temporal coherence on the reference network arc

but it can provide a greater number of high-quality arcs (with a temporal coherence greater than 0.6) . The PolPSI technology can increase the density of PS in urban surface monitoring. In summary

PolPSI technology utilizing Sentinel-1 data can provide more detailed and accurate deformation monitoring information on urban surface compared to TS-InSAR technology.

关键词

Keywords

references

FERRETTI A, PRATI C, ROCCA F. Nonlinear subsidence rate estimation using permanent scatterers in differential SAR interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(5): 2202-2212.

FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1): 8-20.

NG A H-M, GE L, LI X, et al . Monitoring ground deformation in Beijing, China with persistent scatterer SAR interferometry [J ] . Journal of Geodesy, 2012, 86(6): 375-392.

PIPIA L, FABREGAS X, AGUASCA A, et al . Polarimetric differential SAR interferometry: first results with ground-based measurements [J ] . IEEE Geoscience and Remote Sensing Letters, 2009, 6(1): 167-171.

SHEN P, WANG C, LU L, et al . A novel polarimetric PSI method using trace moment-based statistical properties and total power interferogram construction [J ] . IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-15.

NAVARRO-SANCHEZ V D, LOPEZ-SANCHEZ J M, VICENTE-GUIJALBA F. A contribution of polarimetry to satellite differential SAR interferometry: increasing the number of pixel candidates [J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(2): 276-280.

CHEN J W, NG A H-M, WANG H, et al . Surface deformation monitoring based on dual-polarization time series InSAR technology [J ] . Journal of Guangdong University of Technology, 2022, 39(3): 77-82.

ZHAO F, ZHANG L X, WANG T, et al . Polarimetric persistent scatterer interferometry for urban ground deformation monitoring with Sentinel-1 dual polarimetric data [J ] . Geomatics and Information Science of Wuhan University, 2022, 47(9): 1507-1514.

WANG Y J, YUAN G, WANG T, et al . Research on multi-source remote sensing detection of concealed fire sources in coalfields [J ] . Geomatics and Information Science of Wuhan University, 2022, 47(10): 1651-1661.

ZHAO F, WANG T, ZHANG L, et al. Polarimetric persistent scatterer interferometry for ground deformation monitoring with VV-VH Sentinel-1 data[J]. Remote Sensing2022, 14(2) :309.

NG A H-M, GE L, LI X. Assessments of land subsidence in the Gippsland Basin of Australia using ALOS PALSAR data [J]. Remote Sensing of Environment, 2015, 159: 86-101.

CLOUDE S R, PAPATHANASSIOU K P. Polarimetric optimisation in radar interferometry [J]. Electronics Letters, 1997, 33(13): 1176-8.

MULLISSA A G, TOLPEKIN V, STEIN A, et al . Polarimetric differential SAR interferometry in an arid natural environment [J ] . International Journal of Applied Earth Observation and Geoinformation, 2017, 59: 9-18.

SHAMSHIRI R, NAHAVANDCHI H, MOTAGH M. Persistent scatterer analysis using dual-polarization Sentinel-1 data: contribution from VH channel [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3105-3112.

ANFINSEN S N, DOULGERIS A P, ELTOFT T. Estimation of the equivalent number of looks in polarimetric synthetic aperture radar imagery [J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(11): 3795-3809.

LEE J S, POTTIER E. Polarimetric radar imaging : from basics to applications[M]. Boca Raton: CRC Press, 2009.

LEE J S, JURKEVICH L, DEWAELE P, et al . Speckle filtering of synthetic aperture radar images: a review [J ] . Remote Sensing Reviews, 1994, 8(4): 313-340.

SHEN P, WANG C, HU J, et al . Interferometric phase optimization based on PolInSAR total power coherency matrix construction and joint polarization-space nonlocal estimation [J ] . IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-14.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

基于双极化时序InSAR技术的地表形变监测

基于PSI技术的福州市地面形变监测与影响因素分析

基于AAGV-YOLOX模型的输电线路异物检测研究

具守恒量波动方程的循环双子网物理信息神经网络

基于数字混频的脉冲式激光测距方法的研究与实现