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An image enhancement method for dim target in through-the-wall radar imaging

机译:穿墙雷达成像中昏暗目标的图像增强方法

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摘要

This paper mainly deals with the degradation problem of dim target through multi-channel image fusion in image domain, and a method based on depth-first-searching (DFS) algorithm is proposed. To apply this method, Firstly, the target image is formed by back-projection (BP) imaging. Secondly, DFS is used to find the target region automatically. Thirdly, the image of dim target is enhanced according to power proportion, after which a multi-channel image fusion can be applied. Finally, the real data is collected by the stepped-frequency through-the-wall radar, and the processed results demonstrate the method is feasible for dim target imaging.
机译:本文主要通过图像域中的多通道图像融合处理暗淡目标的退化问题,提出了一种基于深度优先搜索(DFS)算法的方法。为了应用该方法,首先,通过反投影(BP)成像形成目标图像。其次,DFS用于自动查找目标区域。第三,根据功率比例增强暗淡目标的图像,然后可以应用多通道图像融合。最后,通过步进频率穿墙雷达收集真实数据,处理结果表明该方法对暗目标成像是可行的。

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