基于升降轨时序InSAR数据融合的沈阳市地表沉降监测

城市的地表沉降可能导致人民经济财产安全的损失,因此,对城区地表沉降进行持续监测是保证城市安全的重要环节。基于稳定散射地物的时间序列InSAR近年来被逐渐应用于形变监测中,来自不同轨道监测到的同一位置的形变情况不同,且无法获得一个完整地表沉降的形变信息。本文提出了一个新的多轨道时序InSAR数据融合方法,以辽宁省沈阳市铁西区为例,利用一组Terra SAR-X升轨数据和一组COSMO-SkyMed降轨数据,通过SBAS-InSAR方法进行处理,并采用Kriging插值方法和奇异值分解求逆等方法对其进行融合,得到了一个垂直方向的完整的形变场,为城市沉降值的获取和分析提供了一个更加准确的变形监测。

Surface Subsidence Monitoring in Shenyang City Based on InSAR Data Fusion of Elevating Rail Time Series

Land subsidence in cities may lead to loss of people′s economic and property safety.Therefore,continuous monitoring of urban settlement is an important part of ensuring urban safety.Time-series InSAR based on stable scattering features has been gradually applied to deformation monitoring in recent years.Due to the particularity of radar satellite side-view imaging systems,the deformation of the same position detected from different tracks is different,and the deformation information of a complete surface settlement cannot be obtained.In this paper,a new multi-track time series InSAR data fusion method is proposed.Taking the Tiexi District of Shenyang City in Liaoning Province as an example,a set of ascending orbit TerraSAR-X data and a set of descending orbitsCOSMO-SkyMeddata are processed by SBAS-InSAR method,and fused by Kriging interpolation method and singular value decomposition inversion method.A complete deformation field in the vertical direction is obtained,which provides a more accurate details of the urban surfacefor urban settlement value acquisition and analysis.