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中老铁路沿线InSAR监测几何畸变判识与灵敏度建模

黄一鸣 杨梦诗 黄成 李梦华 刘朝海 赵志芳

地理空间信息2025,Vol.23Issue(6):8-12,60,6.
地理空间信息2025,Vol.23Issue(6):8-12,60,6.DOI:10.3969/j.issn.1672-4623.2025.06.002

中老铁路沿线InSAR监测几何畸变判识与灵敏度建模

Geometric Distortion Discrimination and Sensitivity Modeling of InSAR Monitoring Along the China-Laos Railway

黄一鸣 1杨梦诗 2黄成 3李梦华 4刘朝海 5赵志芳2

作者信息

  • 1. 云南大学国际河流与生态安全研究院,云南 昆明 650500||云南省中老孟缅自然资源遥感监测国际联合实验室,云南 昆明 650500
  • 2. 云南大学地球科学学院,云南 昆明 650500||云南省中老孟缅自然资源遥感监测国际联合实验室,云南 昆明 650500
  • 3. 昆明理工大学国土资源工程学院,云南 昆明 650093||云南省高原山区地质灾害预报预警与生态保护修复重点实验室,云南 昆明 650216||云南省地质环境研究院,云南 昆明 650216
  • 4. 昆明理工大学国土资源工程学院,云南 昆明 650093
  • 5. 云南省中老孟缅自然资源遥感监测国际联合实验室,云南 昆明 650500||云南省遥感中心,云南 昆明 650034
  • 折叠

摘要

Abstract

In plateau and mountainous areas,the complex terrain will interact with the side-looking imaging of InSAR technology to produce geo-metric distortion,which makes it difficult to obtain effective observations and affects the sensitivity of deformation monitoring.In this study,combined with Sentinel-1 satellite data and topographic data,we realized the quantitative analysis of geometric distortion along the China-Laos Railway by the discriminant method considering the change rate of local incident angle,and constructed the InSAR monitoring sensitivity model based on ground geometry and imaging geometry.The results show that the main geometric distortion along the China-Laos Railway is perspec-tive shrinkage,accounting for 49.2%and 49.5%of the area in the lifting and lowering rail data,respectively,and the area of overlapping and shading area is only 1.6%and 1.3%in the lifting and lowering rail data.Most of the sensitivity values in the lifting and lowering rail data are between 0.2~0.6,accounting for 43.8%and 43.9%of the area,and the sensitivity values less than 0.2 accounted for 26.8%and 26.4%,respectively.In this paper,we comprehensively considered the influence of SAR geometric distortion and sensitivity on InSAR monitoring of long linear ground objects,which could provide a scientific basis for subsequent surface deformation monitoring and the accuracy of result interpretation.

关键词

中老铁路/InSAR/几何畸变/灵敏度

Key words

China-Laos Railway/InSAR/geometric distortion/sensitivity

分类

天文与地球科学

引用本文复制引用

黄一鸣,杨梦诗,黄成,李梦华,刘朝海,赵志芳..中老铁路沿线InSAR监测几何畸变判识与灵敏度建模[J].地理空间信息,2025,23(6):8-12,60,6.

基金项目

国家自然科学青年基金资助项目(42101450) (42101450)

云南省基础研究计划面上项目(202301AT070145) (202301AT070145)

云南省"兴滇英才"青年人才引进项目. ()

地理空间信息

1672-4623

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