Multipass SAR Processing for Urbanized Areas Imaging and Deformation Monitoring at Small and Large Scales
Multipass SAR Processing for Urbanized Areas Imaging and Deformation Monitoring at Small and Large Scales
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DOI：
10.1109/urs.2007.371879
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发表时间：
2007-04
期刊：
影响因子：
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通讯作者：
G. Fornaro;A. Pauciullo;F. Serafino
中科院分区：
文献类型：
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作者：
G. Fornaro;A. Pauciullo;F. Serafino
一个新的处理链，允许监测地面变形，无论是在小尺度和大尺度，进行了讨论。该链的核心是空间差分（SD）算法，该算法允许通过使用相邻和非相邻像素之间的空间差异来非常快速地估计小尺度（低分辨率）平均变形速度和残余地形。小尺度形变时间序列，然后通过使用增强的空间差异（ESD），允许分离大气相位贡献，线性和非线性形变速度和残留地形。通过应用多维（4D）成像（差分层析成像）来提供大尺度（全分辨率）的变形和目标定位，所述多维（4D）成像（差分层析成像）利用接收信号的复杂性质来将数据集中在空间-时间域中。
A new processing chain that allows monitoring ground deformations, both at small scales and large scales, is discussed. Core of the chain is the spatial differencing (SD) algorithm that allows very quick estimation of the small scale (low resolution) mean deformations velocity and residual topography by means of the use of spatial differences between adjacent and non-adjacent pixels. Small scale deformation time series is then generated by using the Enhanced spatial differences (ESD) that permits separating atmospheric phase contribution, linear and non-linear deformation velocity and residual topography. Deformations and target localization at large scales (full resolution) is provided by the application of a multi-dimensional (4D) imaging (differential-tomography) that exploits the complex nature of the received signal to focus the data in the space-time domain.