船舶雷达图像识别与采集对于船舶导航、目标探测等有重要作用,由于海上船舶雷达图像中包含障碍物、机械噪声等干扰,因此需要采用合理的数学算法进行图像处理和提效。本文基于FPGA、PCI总线等硬件模块搭建船舶的雷达图像目标自动采集系统,从系统图像处理、噪声过滤、图像显著性特征识别等方面进行研究,在实际船舶雷达图像的特征识别测试中取得了良好的效果。
Ship radar image recognition and acquisition plays an important role in ship navigation and target detection. Because the maritime ship radar image contains obstacles, mechanical noise and other interference, it is a hot research to use reasonable mathematical algorithm to process and improve the image efficiency. In this paper, based on FPGA, PCI bus and other hardware modules to build the ship radar image target automatic acquisition system, and then from the system image processing, noise filtering, image salient feature recognition and other aspects of detailed research, in the actual ship radar image feature recognition test achieved good results.
2023,45(13): 186-189 收稿日期:2023-01-20
DOI:10.3404/j.issn.1672-7649.2023.13.039
分类号:U667.5
作者简介:李韶楠(1990-),女,博士研究生,讲师,研究方向为视觉图形图像等
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