双极化优化的时序InSAR形变监测研究

doi:10.6046/zrzyyg.2024346

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摘要

高质量监测点的空间密度及其干涉相位质量是时序合成孔径雷达干涉测量(interferometric synthetic aperture radar,InSAR)开展形变监测的重要指标,为了进一步提高InSAR技术在非城市区域的形变监测能力,使用双极化Sentinel-1数据,提出了一种顾及分布式散射体(distributed scatterer, DS)的极化时序InSAR技术方法。该方法根据分布式散射体的特点,并将振幅离差(dispersion of amplitude, DA)作为相位质量评价指标,使用不同方法分别对时序SAR数据的强度信息和相位信息进行极化优化处理,对所优化前后数据进行地表形变监测。以浙江省宁波市为例,采用40景双极化(VV-VH)Sentinel-1数据进行实验。结果表明,所提方法能够显著提高监测点的密度和干涉相位质量。与单极化相比,永久散射体(persistent scatterer, PS)数量提高了约20%,DS点数量提高了约57.5%,干涉图相位质量有明显提升,平均相干性能够提升15%以上,可以更加详细地反映区域形变状况。

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	玄甲斌
	李如仁
	傅文学

关键词 ：极化时序InSAR技术, 双极化Sentinel-1数据, 复杂地形的形变监测

Abstract：

The spatial density and interferometric phase quality of high-quality monitoring points serve as key indicators for deformation monitoring using the time-series interferometric synthetic aperture radar (InSAR) technique. To further enhance the deformation monitoring ability of the InSAR technique for non-urban areas, this study proposed a polarization time-series InSAR method that takes into account distributed scatterers (DSs) using dual-polarization images from Sentinel-1. Specifically, polarization processing of the intensity and phase information of time-series SAR data was conducted using various methods based on the characteristics of DSs and taking the dispersion of amplitude (DA) as an indicator for the phase quality assessment. Then, surface deformation monitoring was performed using the data before and after optimization. This study carried out experiments on Ningbo City in Zhejiang Province using 40 scenes of dual-polarization (VV-VH) images from Sentinel-1. The results indicate that the proposed method can significantly increase the density of monitoring points and the interferometric phase quality. Compared to single polarization, the proposed method increased the quantities of persistent scatterers (PSs) and DSs by about 20% and 57.5%, respectively. Furthermore, the interferometric phase quality was also significantly improved, with the average coherence increasing by more than 15%. The proposed method allows for a more detailed reflection of regional deformations.

Key words： polarization time-series InSAR technique dual-polarization images from Sentinel-1 deformation monitoring of complex terrain

收稿日期: 2024-10-19 出版日期: 2025-12-31

ZTFLH:	TP79
	P237

基金资助:广西科技重大专项“多模态信息驱动的稀土矿区安全要素遥感监测与预警”(桂科AA24206025)

通讯作者: 傅文学(1977-),男,博士,副研究员,主要从事微波遥感方向研究。Email: fuwx@aircas.ac.cn。

作者简介: 玄甲斌(2000-),男,硕士研究生,主要从事合成孔径雷达形变监测研究。Email: 1317805916@qq.com。

引用本文:

玄甲斌, 李如仁, 傅文学. 双极化优化的时序InSAR形变监测研究[J]. 自然资源遥感, 2025, 37(6): 128-137.
XUAN Jiabin, LI Ruren, FU Wenxue. Deformation monitoring using time-series InSAR with dual-polarization optimization. Remote Sensing for Natural Resources, 2025, 37(6): 128-137.

链接本文:

https://www.gtzyyg.com/CN/10.6046/zrzyyg.2024346 或 https://www.gtzyyg.com/CN/Y2025/V37/I6/128

Fig.1 研究区域地形图

Fig.2 研究区地表覆盖分类及卫星影像图

Fig.3 双极化时序InSAR形变监测处理流程

Fig.4 SAR像元的极化空间参数搜索结果

Fig.5 PSO算法收敛性分析

Fig.6 不同极化方式下的平均强度图

Fig.7 2种典型区域的PS点数量对比

Tab.1 不同阈值下选取的PS点数量

Fig.8 同质像元识别数量对比

Fig.9 DS点识别分布对比图

Fig.10 局部区域干涉图优化前后对比

Tab.2 干涉图质量评价结果

Fig.11 研究区地表形变速率图

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