基于极化SAR干涉反演DEM的方法

为了将极化信息有效的和干涉信息融合,提高数字高程模型(DEM)反演的精度,提出一种基于相似性参数的相干增强方法,基于加权中值滤波的相位滤波器以及基于加权的枝切法的相位解缠方法。该文从理论上分析了该方法和传统方法的性能。实验结果表明:与传统方法相比,该方法可以充分利用极化信息,有效地增强相干性,并将相位的质量提高7%,有效地抑制了噪声,将残余点数减少了95%以上,并快速精确地得到了三维地形图。

Approach to reversion of DEM based on polarimetric SAR interferometry

Polarimetric information is combined with interferometric information to enhance digital elevation model(DEM) accuracy using coherence enhancement based on a similarity parameter,phase filtering based on the weighted median filter and phase unwrapping based on the weighted branch-cut.Comparison of these algorithms with conventional algorithms shows that these methods can enhance the phase quality by 7% and reduce the residues by more than 95%.Compared with conventional algorithms,these methods using polarimetric information enhance the coherence,improve the phase quality,and reduce the residues to quickly and accurately produce a 3D relief map.