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Synthetic Aperture Radar Processing Approach for Simultaneous Target Detection and Image Formation

机译:同时靶检测和图像形成的合成孔径雷达处理方法

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摘要

Finding out interested targets from synthetic aperture radar (SAR) imagery is an attractive but challenging problem in SAR application. Traditional target detection is independent on SAR imaging process, which is purposeless and unnecessary. Hence, a new SAR processing approach for simultaneous target detection and image formation is proposed in this paper. This approach is based on SAR imagery formation in time domain and human visual saliency detection. First, a series of sub-aperture SAR images with resolutions from low to high are generated by the time domain SAR imaging method. Then, those multiresolution SAR images are detected by the visual saliency processing, and the corresponding intermediate saliency maps are obtained. The saliency maps are accumulated until the result with a sufficient confidence level. After some screening operations, the target regions on the imaging scene are located, and only these regions are focused with full aperture integration. Finally, we can get the SAR imagery with high-resolution detected target regions but low-resolution clutter background. Experimental results have shown the superiority of the proposed approach for simultaneous target detection and image formation.
机译:从合成孔径雷达(SAR)图像中发现感兴趣的目标是SAR应用中有吸引力但具有挑战性的问题。传统的目标检测是独立于SAR成像过程,这是无目的和不必要的。因此,本文提出了一种用于同时靶检测和图像形成的新的SAR处理方法。这种方法是基于时域和人类视力检测的SAR图像形成。首先,通过时域SAR成像方法生成一系列具有从低到高的分辨率的子孔径SAR图像。然后,通过视觉显着处理检测那些多分辨率SAR图像,并且获得相应的中间显着图。显着性图累积直到具有足够置信水平的结果。在一些筛选操作之后,成像场景上的目标区域位于,只有这些区域的专注于全孔径集成。最后,我们可以通过高分辨率检测到的目标区域获得SAR图像,但低分辨率杂乱背景。实验结果表明了同时靶检测和图像形成的提出方法的优越性。

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