监测城市基础设施健康的星载MT-InSAR方法介绍

林珲; 马培峰; 王伟玺

doi:10.11947/j.AGCS.2017.20170339

测绘学报 >

2017 , Vol. 46 >Issue 10: 1421 - 1433

DOI: https://doi.org/10.11947/j.AGCS.2017.20170339

摄影测量学与遥感

监测城市基础设施健康的星载MT-InSAR方法介绍

林珲 ,
马培峰 ,
王伟玺

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1. 香港中文大学太空与地球信息科学研究所, 香港沙田;
2. 香港中文大学深圳研究院, 广东深圳 518057;
3. 西南交通大学地球科学与环境工程学院, 四川成都 611756;
4. 深圳市数字城市工程研究中心, 广东深圳 518057

林珲(1954-),男,博士,教授,研究方向为地理信息科学。E-mail:huilin@cuhk.edu.hk

收稿日期: 2017-06-21

修回日期: 2017-09-11

网络出版日期: 2017-10-26

基金资助

国土资源部城市土地资源监测与仿真重点实验室开放基金；国家重点基础研究发展计划（2015CB954103）；国家自然科学基金（41601356）

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Urban Infrastructure Health Monitoring with Spaceborne Multi-temporal Synthetic Aperture Radar Interferometry

LIN Hui ,
MA Peifeng ,
WANG Weixi

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1. Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Hong Kong, China;
2. Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen 518057, China;
3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;
4. Shenzhen Research Center of Digital City Engineering, Shenzhen 518057, China

Received date: 2017-06-21

Revised date: 2017-09-11

Online published: 2017-10-26

Supported by

The Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Land and Resources;The National Key Basic Research Program of China (2015CB954103);The National Natural Science Foundation of China (41601356)

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摘要

星载合成孔径雷达干涉测量（InSAR）技术是近年来迅猛发展的一种空间对地观测技术，在InSAR基础上提出的多时相InSAR（MT-InSAR）方法，利用同一地区的多景SAR影像对时序稳定点（PS）进行精确分析，极大地降低了大气延迟等带来的测量误差，使得形变监测精度达到了厘米级到毫米级，可对城市基础设施进行大范围高精度的连续监测。本文通过对MT-InSAR技术发展的综述，总结了目前MT-InSAR技术在基础设施健康监测方面的关键问题和应用领域，并对未来MT-InSAR在城市应用方面的发展提出了展望。

关键词： 合成孔径雷达干涉; 多时相InSAR; 永久散射体; 城市基础设施; 形变监测

本文引用格式

林珲 , 马培峰 , 王伟玺 . 监测城市基础设施健康的星载MT-InSAR方法介绍[J]. 测绘学报, 2017 , 46(10) : 1421 -1433 . DOI: 10.11947/j.AGCS.2017.20170339

Abstract

Synthetic aperture radar interferometry (InSAR) is a well developed earth observation technology in the last two decades. It can measure minute movements and digital elevation model with high accuracy over large areas by inteferometric processing of two SAR images. In particular, multi-temporal InSAR (MT-InSAR) can achieve centimetric to millimetric deformation monitoring by properly removing atmospheric delay using multiple SAR images. This paper gives a review of current cutting-edge MT-InSAR algorithms. The focus is on the key technologies of MT-InSAR and the primary application fields for urban infrastructural health monitoring. Finally, we give some suggestions for the future development of this technology.

Key words： InSAR; MT-InSAR; PS; urban infrastructure; deformation monitoring

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