摘要
库岸滑坡失稳会造成严重的危害并带来巨大的经济损失。合成孔径雷达干涉测量(Interferometric Synthetic Aperture Radar, InSAR)已成为滑坡探测领域的重要技术手段。时序InSAR具备识别滑坡隐患的能力,但是面对海量数据,该技术仍然存在数据处理耗时久、识别效率低等问题。因此,提出一种基于InSAR相位梯度叠加的滑坡隐患快速识别方法,该方法采用改进后的Sobel算子对InSAR差分干涉对进行梯度运算,去除各项误差后,采用梯度叠加方式快速识别发生形变的区域。通过该方法在毛尔盖库岸成功快速识别出23处滑坡隐患,识别结果可靠性高,并且具备更优秀的微弱形变探测能力。在识别速度方面,相较于Stacking-InSAR和SBAS-InSAR分别提升1.4和1.9倍,该方法能从海量数据中快速且准确识别滑坡隐患,可以为广域滑坡隐患的快速识别提供借鉴与参考。
Instability of reservoir landslides can cause serious harm and inflict severe economic losses.Interferometric synthetic aperture radar(InSAR)has become a key tool in landslide identification.Time-series InSAR technology has the capacity to identify potential landslides;however,challenges exist,such as long data processing time and low efficiency with mass data.Thus,in this study,an InSAR phase gradient stacking-based approach to the rapid identification of potential landslides was proposed.The modified Sobel operator was employed for the calculation of the gradient of the InSAR differential interferometric phase.After error removal,the gradient superposition method was adopted to quickly identify the areas with deformation.Twenty-three potential landslides were successfully and rapidly identified in the Maoergai reservoir using this method,indicating high reliability and good detection ability of weak deformation.The identification speeds of the proposed method were 1.4 and 1.9 times faster than those of Stacking-InSAR and SBAS-InSAR,respectively.This proposed method,which can quickly and accurately identify potential landslides from massive data,offers guidance for the rapid identification of potential landslides in a wide area.
作者
唐光民
戴可人
卓冠晨
沈月
陈晨
许强
TANG Guangmin;DAI Keren;ZHUO Guanchen;SHEN Yue;CHEN Chen;XU Qiang(College of Earth Sciences,Chengdu University of Technology,Chengdu 610059,Sichuan,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu University of Technology,Chengdu 610059,Sichuan,China;College of Geological Engineering and Geomatics,Chang'an University,Xi'an 710054,Shaanxi,China;Institute of Geophysics&Geomatics,China University of Geosciences,Wuhan 430074,Hubei,China)
出处
《地震工程学报》
CSCD
北大核心
2023年第5期1096-1105,共10页
China Earthquake Engineering Journal
基金
中国博士后科学基金面上项目(2020M673322)
四川省自然科学基金杰出青年科学基金(2023NSFSC1909)。
关键词
滑坡隐患
相位梯度叠加
快速识别
INSAR
potential landslide
phase gradient stacking
rapid identification
InSAR
