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作 者:YANG Chengsheng ZHANG Qin ZHAO Chaoying JI Lingyun ZHU Wu
机构地区:[1]School of Geological Engineering and Surveying, Chang'an University, Xi'an 710054, China [2]Key Laboratory of Western China Mineral Resources and Geological Engineering, Ministry of Education, Xi'an 710054, China [3]Second Crust Monitoring and Application Center, CEA, Xi 'an 710054, China
出 处:《Mining Science and Technology》2010年第5期696-700,共5页矿业科学技术(英文版)
基 金:funded by the National Natural Science Foundation of China (Nos.40902081,and 40802075);the Key Project of the Ministry of Land & Resources,China (No.1212010914015)
摘 要:For harmful ground collapse and its special deformation characteristics,which causes SAR images to lose coherence,InSAR technology cannot be applied in monitoring surface collapse in mining areas.We took the Shenmu mining area in northern Shaanxi province as an example to study subsidence in mining areas and proposed an interpolated multi-view processing method.The results show that this method can improve the detectable deformation gradient to a certain extent and can become a good reference value for monitoring large scale gradient deformation.We also analyzed the rules for temporal decorrelation in mining.For harmful ground collapse and its special deformation characteristics,which causes SAR images to lose coherence,InSAR technology cannot be applied in monitoring surface collapse in mining areas.We took the Shenmu mining area in northern Shaanxi province as an example to study subsidence in mining areas and proposed an interpolated multi-view processing method.The results show that this method can improve the detectable deformation gradient to a certain extent and can become a good reference value for monitoring large scale gradient deformation.We also analyzed the rules for temporal decorrelation in mining.
关 键 词:D-INSAR coal mine subsidence monitoring COLLAPSE temporal decorrelation interpolated multi-view
分 类 号:P225.1[天文地球—大地测量学与测量工程] X832[天文地球—测绘科学与技术]
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