许兵

副教授 博士生导师 硕士生导师

所在单位:地球科学与信息物理学院

学历:博士研究生毕业

办公地点:中南大学新校区地科楼北211

联系方式:xubing@csu.edu.cn

学科:测绘科学与技术

Correcting the Location Error of Persistent Scatterers in an Urban Area Based on Adaptive Building Contours Matching: A Case Study of Changsha

发布时间:2024-04-26

点击次数:

DOI码:10.3390/rs16091543

摘要:Persistent Scatterer InSAR (PS-InSAR) technology enables the monitoring of displacement in millimeters. However, without the use of external parameter correction, radar scatterers exhibit poor geopositioning precision in meters, limiting the correlation between observed deformation and the actual structure. The integration of PS-InSAR datasets and building databases is often overlooked in deformation research. This paper presents a novel strategy for matching between PS points and building contours based on spatial distribution characteristics. A convex hull is employed to simplify the building outline. Considering the influence of building height and incident angle on geometric distortion, an adaptive buffer zone is established. The PS points on a building are further identified through the nearest neighbor method. In this study, both ascending and descending TerraSAR-X orbit datasets acquired between 2016 and 2019 were utilized for PS-InSAR monitoring. The efficacy of the proposed method was evaluated by comparing the PS-InSAR results obtained from different orbits. Through a process of comparison and verification, it was demonstrated that the matching effect between PS points and building contours was significantly enhanced, resulting in an increase of 29.2% in the number of matching PS points. The results indicate that this novel strategy can be employed to associate PS points with building outlines without the need for complex calculations, thereby providing a robust foundation for subsequent building risk assessment.

论文类型:期刊论文

是否译文:

发表时间:2024-04-26

收录刊物:SCI

发布期刊链接:https://www.mdpi.com/2072-4292/16/9/1543

附件:

  • Correcting the Location Error of Persistent Scatterers.pdf

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