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金属矿山 ›› 2016, Vol. 45 ›› Issue (11): 128-131.

• 地质与测量 • 上一篇    下一篇

融合D-InSAR技术与ArcGIS软件 的矿区开采沉陷监测

魏海霞1,高照忠1,叶长斌2   

  1. 1.广东工贸职业技术学院测绘遥感信息工程系,广东 广州 510510;2.山东正元数字城市建设有限公司,山东 烟台 264670
  • 出版日期:2016-11-15 发布日期:2017-02-15

Mining Subsidence Monitoring Method Based on D-InSAR Technology and ArcGIS Software

Wei Haixia1,Gao Zhaozhong1,Ye Changbin2   

  1. 1.Department of Information Engineering in Surveying Mapping and Remote Sensing,Guangdong Polytechnic of Industry and Commerce,Guangzhou 510510,China;2.Shandong Zhengyuan Digital City Construction Co.,Ltd.,Yantai 264670,China
  • Online:2016-11-15 Published:2017-02-15

摘要: 合成孔径雷达差分干涉测量技术(D-InSAR)存在卫星重访周期较长的不足,导致矿区开采沉陷监测精度不高,难以适应矿区开采沉陷动态监测的要求。为此,以双鸭山某矿区为例,将D-InSAR技术与ArcGIS软件进行有机结合进行开采沉陷监测分析。首先选择该矿区2014年10—11月3景C波段TerraSAR影像作为干涉影像数据,构成了3个干涉影像对;然后针对In-SAR干涉影像存在的基线误差、大气误差、地形误差以及时间失相关等,以GAMMA软件为平台,通过精细二轨D-InSAR模式,进行干涉影像对配准、基线估计、相位解缠处理,提高D-InSAR干涉影像精度;最后将D-InSAR差分干涉影像与开采平面、开采计划以及水准测量数据进行叠加,分析矿区开采沉陷区域的空间动态分布位置,并将D-InSAR差分干涉影像导入ArcGIS软件对矿区开采沉陷进行定量分析。研究表明:干涉影像对1、2、3的时间间隔分别为11,22,33 d,期间矿区的最大沉陷量分别为40,41,45 mm,平均沉陷量为0.86 mm/d,区内同期水准测量获得的沉陷量平均为0.92 mm/d,可见,融合D-InSAR技术与ArcGIS软件的开采沉陷监测方法有一定的精度。

关键词: 开采沉陷, D-InSAR, ArcGIS, 干涉影像, GAMMA, 相位解缠

Abstract: The satellite revisit cycle of the differential interferometry synthetic aperture radar technology (D-InSAR) is long,which results in the precise of the mining subsidence monitoring of D-InSAR technology is low.So,it cannot meet the requirement of mining subsidence monitoring.In order to overcome the above shortcomings of D-InSAR technology,taking a mining area of Shuangyashan city as an study example,the mining subsidence is analyzed based on D-InSAR technology and ArcGIS software.Firstly,three TerraSAR images in C bands of October~November in 2014 in the mining area are selected as the interference image data,three pairs of interferometry images are obtained;then,according to the defects of baseline error,atmosphere error,terrain error and time losing correlation of the interferometry images,taking the GAMMA software as the study platform,based on the fine two-pass D-InSAR mode,the interferometry images are processed by using registration method,baseline estimation method and phase unwrapping method;finally,the superposition of the interferometry images and mining plane,mining plan and leveling measurement data are conducted to analyze the dynamic distribution location of the subsidence mining areas,besides that,the mining subsidence is conducted quantitative analysis by taking the interferometry images into ArcGIS software.The study results show that the interval of the 1,2,3 pair of interferometry image are 11,22,33 d respectively,the maximum mining subsidence values of the three intervals are 40,41,45 mm respectively,the average mining subsidence value is 0.86 mm/d,the average mining subsidence value obtained by leveling measurement is 0.92 mm/d in the same period,which further show that the precise of the mining subsidence monitoring method proposed in this paper is ideal.

Key words: Mining subsidence, D-InSAR,ArcGIS, Interferometry images pair, GAMMA, Phase unwrapping