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

机译:用于目标同时成像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)影像中找出感兴趣的目标是SAR应用中一个有吸引力但具有挑战性的问题。传统的目标检测与SAR成像过程无关,这是没有目的且不必要的。因此,本文提出了一种用于目标同时检测和图像形成的SAR处理新方法。这种方法基于时域的SAR图像形成和人类视觉显着性检测。首先,通过时域SAR成像方法生成分辨率从低到高的一系列子孔径SAR图像。然后,通过视觉显着性处理检测那些多分辨率SAR图像,并获得相应的中间显着性图。显着性图将被累积,直到结果具有足够的置信度。经过一些筛选操作之后,就定位了成像场景上的目标区域,并且只有这些区域通过全光圈集成进行聚焦。最后,我们可以获得具有高分辨率检测目标区域但低分辨率杂波背景的SAR图像。实验结果表明,该方法在同时进行目标检测和成像方面具有优势。

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