双极化最优的时序InSAR高山区地表形变监测

Time-series InSAR land deformation monitoring of based on dual-polarimetric optimization in high mountain area

针对高级陆地观测卫星2号提供的多极化数据源,不同极化方式影像的永久散射体点密度存在较大差别,而寻求极化最优的散射机制为永久散射体的识别和提取提供了一种新思路。该文以珠穆朗玛峰地区24景双极化影像为例,提出了改进后的模拟退火算法,退火过程采用不同的退火速率节约了退火总时间,通过不同的初始温度和稳定迭代次数实现双极化最优,然后利用干涉点目标分析技术反演地表时序形变,最后证实了双极化最优与HH极化形变结果的一致性。实验结果表明双极化最优结果实现了永久散射体数量最大化,能在大面积地表形变监测与灾害治理领域提供广泛的应用价值。

In recent years,traditional single-polarization images have been widely used land deformation monitoring,For the multi-polarization data source provided by the advance land observing satellite 2(ALOS-2),the density of persistent scatterer(PS)in images of different polarization modes is quite different,and seeking the optimal scattering mechanism for polarization provides a new idea for the identification and extraction of PS.A case study of 24 dual-polarization images in Mount Qomolangma region,this paper presented the improved simulated annealing(SA)algorithm,the SA process uses different annealing rates to save the total annealing time,and the dual-polarization optimization is achieved through different initial temperatures and frequency of steadily iterations,and then the interferometric point target analysis technology is used for deformation inversion,and Finally confirmed the consistency of the deformation results.The experimental results show that the optimal result of dual polarization maximizes the number of PSs,which can provide a wide range of application value in the field of surface deformation monitoring and disaster management in large areas of high mountainous areas.