摘要
针对采空区快速检测的需要,探讨利用雷达干涉测量(InSAR)技术生成的相干图检测地下采矿活动造成的采空区的可行性。基于InSAR技术,重点分析InSAR相干图在干旱地区的相干性特征及低相干区与煤矿采空区的相关性。在此基础上,构建了一种基于InSAR低相干区的煤矿采空区快速识别方法,利用InSAR相干图和自然断点分级法对大范围内可能发生的采空区进行广域识别与快速检测。以哈密市某煤矿为实验区,利用2020—2023年的28景Sentinel-1雷达数据,检测出InSAR相干图中的低相干区范围,获取了煤矿采空区的位置及范围。通过光学影像辅助验证,该方法对采空区识别的IoU和precision分别达到72.40%和96.40%。该方法为干旱地区的煤矿采空区的广域识别与检测提供了一条新的技术途径。
In this paper,the feasibility of using InSAR-generated coherence maps to detect subsidence caused by underground mining activities is discussed.Based on InSAR technology,the coherence characteristics of interferometric data in arid areas are discussed,and the correlation between low coherence area on InSAR coherence map and goafs of coal mine is analyzed.On this basis,a rapid method for identifing the goaf of coal mine based on InSAR low coherence area is constructed.This method uses the natural break classification method based on InSAR coherence map to rapidly identify and detect the goafs of coal mine that may occur in wide area.Taking a coal mine in Hami city as the study area,using 28 Sentinel-1 radar data from 2020 to 2023,the low coherence area in InSAR coherence map is detected automatically,and the possible goafs of coal mine are obtained.Through optical image verification,the IoU and precision for identifing the goafs of coal mine using the proposed method reach 72.40%and 96.40%,respectively.The method constructed in this paper provides a reliable technical approach for identificating and analyzing the goafs of coal mine in arid areas in the wide area.
作者
郑希望
李振今
朱野
王志勇
ZHENG Xiwang;LI Zhenjin;ZHU Ye;WANG Zhiyong(Levy Center of Natural Resources of Zhejiang Province,Hangzhou 310007,China;College of Geodesy and Geomatics,Shandong University of Science and Technology,Qingdao,Shandong 266590,China;National Demonstration Center for Experimental Surveying and Mapping Education(Shandong University of Science and Technology),Qingdao,Shandong 266590,China)
出处
《遥感信息》
CSCD
北大核心
2024年第2期36-42,共7页
Remote Sensing Information
基金
浙江省自然资源科技项目(2023-47)。
