非局部范式在SAR三维重建中的应用

G. Ferraioli, L. Denis, C. Deledalle, F. Tupin
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引用次数: 0

摘要

在过去的几十年里,已经发展了几种利用多通道干涉合成孔径雷达(InSAR)数据解决相位展开(PhU)问题的方法。许多提出的方法都是基于统计估计理论,包括经典的和贝叶斯的。特别是,基于使用整个复杂多通道数据集的统计方法已经变得有效。后者是基于协方差矩阵的开发,其中包含感兴趣的参数。本文研究了InSAR多通道PhU框架下非局部(NL)范式的附加价值。利用多通道真实模拟数据和x波段数据对NL技术的影响进行了分析。
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The Exploitation of the Non Local Paradigm for SAR 3d Reconstruction
In the last decades, several approaches for solving the Phase Unwrapping (PhU) problem using multi-channel Interferometric Synthetic Aperture Radar (InSAR) data have been developed. Many of the proposed approaches are based on statistical estimation theory, both classical and Bayesian. In particular, the statistical approaches based on the use of the whole complex multi-channel dataset have turned to be effective. The latter are based on the exploitation of the covariance matrix, which contains the parameters of interest. In this paper, the added value of the Non Local (NL) paradigm within the InSAR multi-channel PhU framework is investigated. The analysis of the impact of NL technique is performed using multi-channel realistic simulated data and X-band data.
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