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首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data
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Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data

机译:利用超高分辨率多通道InSAR数据重建城市数字高程模型

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摘要

Interferometric synthetic aperture radar (SAR) (InSAR) systems allow 3-D reconstruction of observed scene. In this paper, an innovative approach for phase unwrapping and digital elevation model (DEM) generation using multichannel InSAR data is presented. The proposed algorithm, exploiting both the amplitude and phase of the available complex data, is able to unwrap and simultaneously regularize the observed data. In particular, the exploitation of amplitude data within the unwrapping chain helps in preserving sharp discontinuities typical of urban areas. As a result, the technique provides accurate DEM reconstructions. For this aim, a Markovian approach, together with a new graph-cut-based optimization algorithm, has been considered. The method has been developed specifically to work in urban areas with very high resolution InSAR image stacks, being able to automatically compensate possible phase offsets. Results on both simulated and real case studies are reported, showing the effectiveness of the method.
机译:干涉式合成孔径雷达(SAR)(InSAR)系统可对观察到的场景进行3D重建。本文提出了一种使用多通道InSAR数据进行相位展开和数字高程模型(DEM)生成的创新方法。所提出的算法同时利用了可用的复杂数据的幅度和相位,能够解包并同时对观察到的数据进行正则化。特别是,在解包链中利用振幅数据有助于保留典型的城市地区的急剧不连续性。结果,该技术提供了准确的DEM重建。为了这个目标,已经考虑了马尔可夫方法以及基于图割的新优化算法。该方法专为在具有高分辨率InSAR图像堆栈的城市地区工作而开发,能够自动补偿可能的相位偏移。报告了模拟和真实案例研究的结果,表明了该方法的有效性。

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