基于x波段舰载雷达图像的高光目标提取方法

Bo Li, Jin Xu, Xinxiang Pan, Rong Chen, Shuai Xu, Haixia Wang
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引用次数: 0

摘要

舰载雷达是航行中不可缺少的目标探测仪器。基于大连海事大学“玉坤”教学实训舰采集的舰载雷达图像,提出了一种突出目标提取方法。首先,将原始舰载雷达图像从极坐标系转换为笛卡尔坐标系;其次,利用改进的Sobel算子对舰载雷达图像进行笛卡尔坐标系下的卷积。第三,利用Otsu阈值对卷积图像进行分割,提取共频干扰噪声;第四,采用距离加权线性滤波器抑制共频干扰噪声。第五,利用灰度校正矩阵对图像的整体灰度进行调整。然后,采用阈值法对高光目标进行粗分割;然后用像素数阈值抑制散斑噪声。最后,将得到的图像转换回极坐标系统。实验结果表明,该方法能有效地分割出原始舰载雷达图像中的高亮目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Highlight Target Extraction Method based on X-band Shipborne Radar Image
Shipborne radar is an indispensable target detection instrument during navigation. Based on the shipborne radar image collected by the Yukun teaching-training ship of Dalian Maritime University, a highlight targets extraction method is proposed here. First, the original shipborne radar image is transformed from polar coordinate system into Cartesian coordinate system. Second, the improved Sobel operator is used to convolute the shipborne radar image in Cartesian coordinate system. Third, Otsu threshold is used to segment the convoluted image and extract the co-frequency interference noises. Fourth, the distance weighted linear filter is used to suppress the co-frequency interference noises. Fifth, the gray correction matrix is used to adjust the overall gray level of the image. Then, the threshold method is used to get the rough highlight targets segmentation. After that, the speckle noises are suppressed by the pixel number threshold. Finally, the result image is transformed back to the polar coordinate system. Experimental results show that our method can effectively segment the highlighted targets in the original shipborne radar image.
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