Department of Electrical Engineering, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-Tech Zone, Chengdu 611731, China.
Sensors (Basel). 2018 Oct 10;18(10):3377. doi: 10.3390/s18103377.
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.
从合成孔径雷达（SAR）图像中发现感兴趣的目标是 SAR 应用中的一个具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，这是无意义和不必要的。因此，本文提出了一种用于同时进行目标检测和图像形成的新 SAR 处理方法。该方法基于时域 SAR 成像和人类视觉显着性检测。首先，通过时域 SAR 成像方法生成一系列分辨率从低到高的子孔径 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。累积显着性图，直到获得具有足够置信水平的结果。经过一些筛选操作，定位成像场景上的目标区域，仅对这些区域进行全孔径积分聚焦。最后，我们可以得到具有高分辨率检测到的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图像形成方面具有优越性。
