影像压缩技术的洞庭湖时序InSAR沉降监测

doi:10.13474/j.cnki.11-2246.2024.0724

测绘通报 ›› 2024, Vol. 0 ›› Issue (7): 134-139.doi: 10.13474/j.cnki.11-2246.2024.0724

影像压缩技术的洞庭湖时序InSAR沉降监测

艾荟¹, 吴文豪¹, 殷牧², 张腾旭^3,4, 余力⁵, 葛子轩¹, 曹锐¹

1. 湖南科技大学地球科学与空间信息工程学院, 湖南湘潭 411201;
2. 湖南省水文地质环境地质调查监测所, 湖南长沙 410131;
3. 湖北科技学院资源环境科学与工程学院, 湖北咸宁 437100;
4. 湖北珞珈实验室, 湖北武汉 430079;
5. 河南省资源环境调查一院有限公司, 河南郑州 450000

收稿日期:2023-11-28 发布日期:2024-08-02
通讯作者: 吴文豪。E-mail:wuwh@whu.edu.cn
作者简介:艾荟(2001—),女,硕士生,研究方向为InSAR及其应用。E-mail:aihui@mail.hnust.edu.cn
基金资助:
国家自然科学基金(42004006);湖南省自然科学基金青年基金(2021JJ40198)

Time series InSAR deformation monitoring of Dongting Lake based on mini-stack technology

AI Hui¹, WU Wenhao¹, YIN Mu², ZHANG Tengxu^3,4, YU Li⁵, GE Zixuan¹, CAO Rui¹

1. School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China;
2. Survey and Monitoring Institute of Hydrogeology and Environmental Geology of Hunan Province, Changsha 410131, China;
3. College of Resources and Environmental Science and Engineering, Hubei University of Science and Technology, Xianning 437100, China;
4. Hubei Luojia Laboratory, Wuhan 430079, China;
5. Henan Resources and Environment Survey Institute No. 1 Co., Ltd., Zhengzhou 450000, China

Received:2023-11-28 Published:2024-08-02

摘要/Abstract

摘要： 洞庭湖地区作为重要的水源保护区和湿地生态重点区域,其可持续发展及生态环境正面临着构造沉降和人为过度开发的双重威胁。鉴于洞庭湖区域整体沉降速率较小,本文采用长时间跨度的Sentinel-1A影像数据进行时序InSAR处理,以精确获取该区域的地表沉降速率。同时为克服失相干噪声的影响,对影像进行时间维压缩,生成信噪比较高的压缩影像干涉图集,从而实现高效时序处理。与经典时序InSAR技术进行精度对比,不但提高了处理效率,而且相干点的空间密度提高了100倍。研究结果表明,研究区域内存在两处明显沉降区域。

关键词: 影像压缩技术, 降维压缩, 相位估计, 压缩影像, 洞庭湖

Abstract: The Dongting Lake region, as an important water source protection area and a key wetland ecological region, is facing dual threats of tectonic subsidence and excessive human development, which pose challenges to its sustainable development and ecological environment. Considering the relatively low overall deformation rate in the Dongting Lake region, this study utilized long-term Sentinel-1A satellite image data for time series InSAR processing to accurately determine the surface subsidence rate in the area. Additionally, to mitigate the impact of decorrelation noise, this study performed time-domain compression on the images, generating a compressed image stack with a higher signal to noise ratio, thereby achieving efficient time-series processing. In comparison with classical time-series InSAR techniques, this approach not only enhances processing efficiency but also increases the spatial density of coherent points by 100 times. The research findings reveal the presence of two distinct subsidence areas within the study region.

Key words: mini-stack technology, dimensional compression, phase estimation, compressed image, Dongting Lake

中图分类号:

P237

艾荟, 吴文豪, 殷牧, 张腾旭, 余力, 葛子轩, 曹锐. 影像压缩技术的洞庭湖时序InSAR沉降监测[J]. 测绘通报, 2024, 0(7): 134-139.

AI Hui, WU Wenhao, YIN Mu, ZHANG Tengxu, YU Li, GE Zixuan, CAO Rui. Time series InSAR deformation monitoring of Dongting Lake based on mini-stack technology[J]. Bulletin of Surveying and Mapping, 2024, 0(7): 134-139.

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影像压缩技术的洞庭湖时序InSAR沉降监测

Time series InSAR deformation monitoring of Dongting Lake based on mini-stack technology

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