一种合成孔径雷达图像舰船假目标检测判别算法

发布时间：2018-10-16 17:42

【摘要】：由于合成孔径雷达(SAR)发射脉冲频率以及成像机理的影响,导致SAR图像在成像时存在方位模糊噪声,严重时会在图像上出现假目标,此时若采用传统的目标检测算法,将会把假目标误判为检测目标,降低目标检测的准确率,影响目标的分类识别。本文分析了假目标产生的原因,从理论上导出了假目标在SAR图像中出现的具体位置。从信号处理的角度,对SAR图像进行方位模糊抑制的仿真。然后采用双参数CFAR检测算法对SAR图像进行目标检测,依据真假目标区域连通面积大小不同,且假目标区域具有不连通、面积小等特点,在目标检测的同时,对真假目标进行判别。最后,采用10m×10m分辨率的SAR图像进行实验验证。实验结果证明该算法可以对由于方位向模糊产生的假目标进行有效检测。
[Abstract]:Because of the influence of (SAR) pulse frequency and imaging mechanism of synthetic Aperture Radar (SAR), there is azimuth fuzzy noise in the imaging of SAR image, and false target will appear in the image seriously. If the traditional target detection algorithm is adopted at this time, False targets will be misjudged as detection targets, which will reduce the accuracy of target detection and affect the classification and recognition of targets. In this paper, the causes of false targets are analyzed, and the location of false targets in SAR images is derived theoretically. From the point of view of signal processing, the azimuth ambiguity suppression of SAR image is simulated. Then we use the two-parameter CFAR detection algorithm to detect the target in SAR image. According to the different size of the connected area of the true and false target region, the false target region has the characteristics of disconnection and small area, so it can detect the target at the same time. Identify the true and false target. Finally, the SAR images with 10 m 脳 10 m resolution are used for experimental verification. Experimental results show that the algorithm can effectively detect false targets caused by azimuth ambiguity.
【作者单位】：内蒙古大学电子信息工程学院;
【基金】：国家自然科学基金项目(61362002) 海洋公益性科研专项(201505002)资助~~
【分类号】：TN957.52

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