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Study of InSAS Interferogram Filtering Based on Lattice Boltzmann Method

机译：基于晶格Boltzmann方法的INSAS干涉过滤研究

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On the issue of interferogram filter in Interferomatric Synthetic Aperture Sonar(InSAS), P - M model based on partial differential equation (PDE) can not only remove noise effectively, but also better keep the interferogram details and edge information. But its computation efficiency is relatively low and it can not be parallelized to real-time processing. Aiming to overcome these shortcomings, a de-noising method based on lattice Boltzmann method(LBM) is introduced. Processing results of the simulation and real experimental data show that the interferogram filtering method based on LBM can de-noise more effectively, and its calculation efficiency is better. In view of it, LBM can be used for real-time processing.
机译：在干涉合成孔径声纳（INSAS）中的干扰图滤波器问题上，基于部分微分方程（PDE）的P-M型号不仅可以有效地去除噪声，而且还更好地保持干扰图的细节和边缘信息。但其计算效率相对较低，并且不能与实时处理并行化。旨在克服这些缺点，介绍了一种基于格子Boltzmann方法（LBM）的去噪方法。仿真和真实实验数据的处理结果表明，基于LBM的干涉图滤波方法可以更有效地噪音，其计算效率更好。鉴于它，LBM可用于实时处理。

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