DEM Corrections Before Unwrapping in a Small Baseline Strategy for InSAR Time Series Analysis
DEM Corrections Before Unwrapping in a Small Baseline Strategy for InSAR Time Series Analysis
复制标题
DOI：
10.1109/lgrs.2013.2276040
复制
发表时间：
2014-03
影响因子：
4.8
通讯作者：
G. Ducret;M. Doin;R. Grandin;C. Lasserre;S. Guillaso
中科院分区：
文献类型：
--
作者：
G. Ducret;M. Doin;R. Grandin;C. Lasserre;S. Guillaso
合成孔径雷达干涉测量（干涉合成孔径雷达）受时间去相关和地形误差的限制，在部分非相干和山区会产生解缠误差。本文提出了一种从一系列包裹干涉图中估计和消除局部数字高程模型（DEM）误差的算法。该方法被设计为包括在一个小基线子集（SBAS）的干涉合成孔径雷达的时间序列分析在自然环境中的地面形变的方法。该算法易于实现，适用于雷达场景的所有像素。该算法被应用到一系列的包裹干涉图计算从ENVISAT雷达图像获得的喜马拉雅山脉。DEM误差校正性能的量化的本地相位色散和在展开过程中计算的残留物的数量的减少。因此，它提高了空间展开步骤的自动化。
Synthetic aperture radar interferometry (InSAR) is limited by temporal decorrelation and topographic errors, which can result in unwrapping errors in partially incoherent and mountainous areas. In this paper, we present an algorithm to estimate and remove local digital elevation model (DEM) errors from a series of wrapped interferograms. The method is designed to be included in a small baseline subset (SBAS) approach for InSAR time series analysis of ground deformation in natural environment. It is easy to implement and can be applied to all pixels of a radar scene. The algorithm is applied to a series of wrapped interferograms computed from ENVISAT radar images acquired across the Himalayan mountain range. The DEM error correction performance is quantified by the reduction of the local phase dispersion and of the number of residues computed during the unwrapping procedure. It thus improves the automation of the spatial unwrapping step.