A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms
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DOI：
10.1109/tgrs.2002.803792
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发表时间：
2002-11-01
影响因子：
8.2
通讯作者：
Sansosti, E
中科院分区：
文献类型：
--
作者：
Berardino, P;Fornaro, G;Sansosti, E
提出了一种新的差分合成孔径雷达（SAR）干涉算法监测地表变形的时间演变。所提出的技术是基于一个适当的组合的差分干涉图所产生的数据对，其特征在于一个小的轨道分离（基线），以限制空间去相关现象。奇异值分解方法的应用程序，使我们能够很容易地“链接”独立的SAR采集数据集，分离的大基线，从而增加了观测时间采样率。处理后的数据中的空间和时间信息的可用性被用来识别和过滤掉大气相位伪影。我们目前获得的数据从1992年至2000年由欧洲遥感卫星和相对于Campi Flegrei破火山口和那不勒斯，意大利，证明所提出的方法，以遵循检测到的变形的动态的能力。
We present a new differential synthetic aperture radar (SAR) interferometry algorithm for monitoring the temporal evolution of surface deformations. The presented technique is based on an appropriate combination of differential interferograms produced by data pairs characterized by a small orbital separation (baseline) in order to limit the spatial decorrelation phenomena. The application of the singular value decomposition method allows us to easily "link" independent SAR acquisition datasets, separated by large baselines, thus increasing the observation temporal sampling rate. The availability of both spatial and temporal information in the processed data is used to identify and filter out atmospheric phase artifacts. We present results obtained on the data acquired from 1992 to 2000 by the European Remote Sensing satellites and relative to the Campi Flegrei caldera and to the city of Naples, Italy that demonstrate the capability of the proposed approach to follow the dynamics of the detected deformations.