融合分布式散射体时序InSAR技术在矿区形变调查中的应用

为了对河北省承德市滦平县张百湾镇周台子村铁矿区进行形变调查和监测，消除安全隐患，在时序CSInSAR（相干散射体InSAR）技术的基础上，开发了48景Sentinel1数据的DSCSInSAR（融合分布式散射体和相干散射体InSAR）技术。该方法首先采用AD (Anderson Darling)检验对同质像素点进行识别，然后基于协方差矩阵特征值分解算法对最优相位进行估计，最终通过时序形变解算得到铁矿区的地表形变结果。研究结果表明：研究区的年平均形变速率范围为-34.50~24.50 mm/a；大部分矿区都存在不同程度的沉降，其中周台子村和路边附近矿区沉降量较大，窑岭沟矿区出现明显抬升现象，最大沉降量和最大抬升量分别达到了34.00和24.03 mm，其形变结果与当地4个GPS监测点结果一致。与CSInSAR技术相比，DS CSInSAR技术极大提高了目标点的密度和干涉图的质量。

Application of Fusion Distributed Scatterer Time-Series InSAR Technique in Deformation Survey of Mining Area

In order to investigate and monitor the deformation of the iron mining areas in Zhoutaizi Village, Zhangbaiwan Town, Luanping County and eliminate potential safety hazards, 48 Sentinel1 images from the mining areas is analyzed by using the DS CSInSAR (distribute scatterer coherent scatterer InSAR) technique that developed based on the time series CSInSAR (coherent scatterer InSAR) technique. Firstly, AD test is used to identify the statistically homogeneous pixels, and then the optimal phase is estimated based on the eigenvalue decomposition algorithm of the covariance matrix； Finally, the surface deformation results of the iron mining areas are obtained through the calculation of time series deformation. The results show that: The annual mean deformation rates in the study area range from -34.50 to 24.50 mm/a; Most of the mining areas have different degrees of subsidence, among them, Zhoutaizi Village and the mining area near the roadside have the largest deformation values and Yaolinggou mining area has a significant uplift； The maximum settlement and maximum uplift reached 34.00 mm and 24.03 mm respectively. These results are in good agreeement with those of the four local GPS monitoring points. Compared with CSInSAR, this technique greatly improves the density of the point targets and the quality of the interferograms.