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小数据集时间序列PS-InSAR技术及其地表沉降应用
Time Series PS-InSAR Using Small Data Set and Its Application to Surface Subsidence
【作者】 樊力彰;
【作者基本信息】 辽宁工程技术大学 , 大地测量学与测量工程, 2011, 硕士
【摘要】 D-InSAR技术从其诞生的二十几年间得到了迅猛的发展,但是随着D-InSAR理论研究的日益成熟和应用领域的不断拓宽,常规D-InSAR技术的缺点和不足问题也逐渐暴露出来,主要表现为长时间尺度上时间和空间的失相干,外部引入数字高程模型的精度,大气延迟效应的影响等。小数据集时间序列PS-InSAR技术通过选取影像中永久散射体对应的像素点,保证了这些像素点的高相干性,突破了常规D-InSAR技术在长时间尺度上所遇到的时间和空间的失相干,外部数字高程模型的精度,大气延迟效应等限制。本文通过差分干涉相位分析,揭示了InSAR测量高程、常规D-InSAR测量地表形变和永久散射体InSAR测量地表沉降是一个对差分相位分析不断深入的过程。本文使用小数据集时间序列PS-InSAR技术提取地表沉降速率,具体是使用相关系数的办法选取干涉像对,再利用相位稳定阈值法选取高相干的永久散射体像素点,从差分干涉相位中分离出DEM残留相位、大气延迟相位、轨道误差相位等误差之后,三维相位解缠,最终获取地表平均沉降速率信息。再结合实验,以天津塘沽地区的地表沉降为研究对象,选取了2007年10月到2009年10月的10景PALSAR的L波段数据进行实验,获取了天津塘沽地区20km×20km区域的地表沉降速率场,分析了地表沉降中心位置及沉降原因,并与塘沽历史沉降数据对比得到差值在5mm/yr以内,验证了基于小数据集时间序列PS-InSAR技术应用于天津塘沽地表沉降监测的可行性。
【Abstract】 Differential synthetic aperture radar interferometry(D-InSAR) technology was developed rapidly over the past twenty years. The disadvantage of conventional D-InSAR was emerging gradually with its development in theoretic research and expansion in applied field, for example, the temporal decorrelation and spatial decorrelation in long-time scales, error caused by the digital elevation model(DEM), the atmospheric effects etc. The permanent/persistent scatterer synthetic aperture radar interferometry(PS-InSAR) time series using small data set(TS-SDS) technology selects the pixels which are permanent/persistent scatterers. These pixels can keep high coherence in time scalse. So PS-InSAR can overcome the restriction in conventional D-InSAR from the temporal decorrelation, spatial decorrelation, error caused by DEM , the atmospheric effects, etc.Through analysing the differential interferometric phase, this thesis revealed that measuring height by InSAR, measuring land subsidence by conventional D-InSAR and measuring land subsidence by PS-InSAR is a deepening process for differential interferometric phase. This thesis applied PS-InSAR TS-SDS to picking up the mean velocities of land subsidence. The processing is selecting the high coherent PS pixels using the phase stability threshold method, computing and analysing systematically these PS pixels in space and time scales, rejecting the phase caused by DEM error, orbit error and atmospheric effects, and extracting the mean velocities of land subsidence. Combining to the experiments, this thesis applied PS-InSAR TS-SDS technology to the land subsidence in Tianjin Tanggu, selected 10 scenes PALSAR L-wave band image data from October 2007 to October 2009, obtained the average velocities of land subsidence in Tianjin Tanggu experimental area which is about 20km×20km, analyzed the center positions of land subsidence and the reasons for these land subsidence, got the D-value within 5mm/yr comparing this average velocities of land subsidence to historical data, and verified the feasibility of application this technology to land subsidence monitoring in Tianjin Tanggu.