文献类型：期刊文章

作　　者：范洪冬[1,2] 顾伟[1] 秦勇[2] 薛继群[3] 陈炳乾[1]

机构地区：[1]中国矿业大学江苏省资源环境信息工程重点实验室,徐州221116 [2]中国矿业大学资源与地球科学学院,徐州221116 [3]中化地质矿山总局浙江地质勘查院,杭州310002

出　　处：《Transactions of Nonferrous Metals Society of China》

基　　金：Project (BK20130174) supported by the Basic Research Project of Jiangsu Province (Natural Science Foundation) ;Project (1101109C) supported by Jiangsu Planned Projects for Postdoctoral Research Funds,China;Project (201325) supported by the Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping,China;Project (SZBF2011-6-B35) supported by the Priority Academic Program Development of Jiangsu Higher Education Institutions,China

年　　份：2014

卷　　号：24

期　　号：4

起止页码：1242-1247

语　　种：中文

收录情况：AJ、CAS、CSA、CSA-PROQEUST、CSCD、CSCD2013_2014、EBSCO、EI、IC、INSPEC、JST、SCI(收录号：WOS:000339276700044)、SCI-EXPANDED(收录号：WOS:000339276700044)、SCIE、SCOPUS、WOS、ZGKJHX、普通刊

摘　　要：Due to the difficulties in obtaining large deformation mining subsidence using differential Interferometric Synthetic Aperture Radar （D-InSAR） alone, a new algorithm was proposed to extract large deformation mining subsidence using D-InSAR technique and probability integral method. The details of the algorithm are as follows：the control points set, containing correct phase unwrapping points on the subsidence basin edge generated by D-InSAR and several observation points （near the maximum subsidence and inflection points）, was established at first; genetic algorithm （GA） was then used to optimize the parameters of probability integral method; at last, the surface subsidence was deduced according to the optimum parameters. The results of the experiment in Huaibei mining area, China, show that the presented method can generate the correct mining subsidence basin with a few surface observations, and the relative error of maximum subsidence point is about 8.3%, which is much better than that of conventional D-InSAR （relative error is 68.0%）.

关 键 词：D-INSAR genetic algorithm  probability integral method  mining subsidence  

分 类 号：P642.26]