InSAR结合概率积分法的矿区外围形变监测

Application of InSAR technology combined with probability integral method in deformation monitoring of mining area periphery

针对单轨InSAR仅能获取LOS向形变和概率积分法预计精度受参数影响较大的问题,探讨了InSAR技术最佳参考DEM的选用方法,根据走向线上点LOS向与真实形变矢量之间的夹角与倾角的函数关系,结合由概率积分法获得的倾角与InSAR获得的LOS向形变量计算得到走向线上点的形变矢量。结果表明:①4类DEM基于DInSAR和SBAS InSAR获得的形变场基本一致;②在DInSAR和SBAS InSAR形变监测中,采用LiDAR DEM的监测结果精度最佳,ALOS DEM次之;③Sentinel-1A和ALOS-1 PALSAR在两个近水平工作面获得的垂直向形变与水准数据差值的标准差分别为0.7、2.1 mm;在主要影响角正切tanβ误差较大的情况下,估计值与水准数据依然保持较好吻合性,差值分别小于5、10 mm,有效减小了tanβ的影响,验证了Sentinel-1A和ALOS-1 PALSAR在本方法中的适用性。

In view of the fact that the single track InSAR can only obtain the deformation in Los direction and the prediction accuracy of probability integral method is greatly affected by the parameters,the selection method of the best reference DEM for InSAR technology was discussed firstly,then the angle between the Los direction of the point on the strike line and the real deformation vector expressed by the dip angle as a function.Secondly,Combining the dip angle obtained by probability integral method with the Los deformation obtained by InSAR,then the deformation vector of the points on the strike line was calculated.The results showed:①Based on DInSAR and SBAS InSAR,the deformation fields of four kinds of DEM were basically the same;②In the deformation monitoring of DInSAR and SBAS InSAR,LiDAR DEM got the best accuracy and ALOS DEM took the second place;③The standard deviation of the differences between leveling data and the vertical deformation obtained by Sentinel-1 A and ALOS-1 PALSAR in two near horizontal work faces were 0.7、2.1 mm respectively;In the case of tanβ(tangent of main influencing angle)with large error,the estimated value and leveling data still kept good consistency,and the difference was less than 5、10 mm respectively,which effectively reduced the impact of tanβ,and verified the applicability of Sentinel-1 A and ALOS-1 PALSAR in this method.