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矿区地表沉陷的D-InSAR监测方法
引用本文:李楠,王磊,池深深,魏涛,吕挑.矿区地表沉陷的D-InSAR监测方法[J].金属矿山,2017,46(10):23-27.
作者姓名:李楠  王磊  池深深  魏涛  吕挑
作者单位:安徽理工大学测绘学院,安徽 淮南 232001
基金项目:国家自然基金项目(编号:41602357、41474026),安徽省博士后基金项目(编号:2014B019),安徽高校自然科学研究项目(编号:KJ2016A190),安徽理工大学2017年研究生创新基金项目(编号:2017CX2057)。
摘    要:基于两景ALOS PALSAR影像,利用D-InSAR技术,获取了2007-12-10-2008-01-25时段某矿区的地表沉降形变场。然后采用D-InSAR监测值,提取该回采时期矿区工作面超前影响角,并与实测数据求取值进行对比,结果表明利用D-InSAR技术求取工作面超前影响角是可行的。利用基于模拟退火算法(SA)的概率积分参数反演方法,求取了矿区工作面非充分采动下的概率积分参数。求参结果表明,利用基于SA的概率积分参数求取方法进行矿区概率积分参数求取是可行的。研究成果对矿山开采沉陷D-InSAR监测具有重要参考价值。

关 键 词:D-InSAR  超前影响角  模拟退火  概率积分法  参数反演  

Monitoring Method of Surface Subsidence in Mining Area Based on D-InSAR
Affiliation:School of Geomatics,Anhui University of Science and Technology,Huainan 232001,China
Abstract:Based on two scenes ALOS PALSAR data,the surface subsidence field of mining area during the period from 2007-12-10 to 2008-01-25 is obtained by using D-InSAR technology.Then,the D-InSAR monitoring value is used to extract the advance influence angle of the mining working face in the mining period and compare with the measured data.The experimental result shows that it is feasible to obtain the advance influence angle of the mining working face by using D-InSAR technology.The probability integral parameter inversion method which is based on simulated annealing algorithm (SA) is adopted to obtain the probability integral parameters of the mining working face under the incomplete mining.The result shows that it is feasible to calculate the probability integral parameters of mining working face by using parameter extraction method of probability integral parameter based on SA.The research results play an important rule in movement and deformation monitoring in mine areas by D-InSAR technology.
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