| 基于最恰对比度显著性分析的红外弱小目标检测方法 |
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| 引用本文： | 蒋国清,万烂军. 基于最恰对比度显著性分析的红外弱小目标检测方法[J]. 红外与激光工程, 2021, 50(4): 20200377-1-20200377-8. DOI: 10.3788/IRLA20200377 |
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| 作者姓名： | 蒋国清 万烂军 |
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| 作者单位： | 1.长沙民政职业技术学院 软件学院，湖南 长沙 410004 |
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| 基金项目： | 国家自然科学基金61702177）；湖南省自然科学基金（2019JJ60048）；国家重点研发计划（2018YFB1700200） |
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| 摘 要： | 针对红外图像弱目标检测困难的现状，提出一种基于最恰对比度显著性分析的红外弱小目标检测方法，在滑动窗口中采用了非线性处理技术对图像进行处理，避免了传统的显著度分析算法处理图像时在景像边缘处产生的显著度值干扰问题，同时不影响在目标区域对目标的提取能力。进行了大量的半实物仿真实验，结果表明，虽然提出的方法在背景抑制因子中未明显提高，但在均值信噪比和信噪比增益两个指标中对目标检测性能明显增强。在图像处理后的三种方法视觉对比图中，效果最好。
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| 关 键 词： | 红外序列图像 弱小目标检测 显著度分析 最恰对比度 |
| 收稿时间： | 2020-09-24 |
Detection of dim and small infrared targets based on the most appropriate contrast saliency analysis |
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| Affiliation: | 1.School of Software, Changsha Social Work College, Changsha 410004, China2.School of Computer Science, Hunan University of Technology, Zhuzhou 412007, China |
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| Abstract: | Aiming at the current situation of dim target detection in infrared image, a dim and small target detection method based on the most appropriate contrast saliency analysis was proposed. In sliding serial port, the non-linear processing technology was used to process the image, which avoided the saliency produced by traditional saliency analysis algorithm when processing the image at the scene edge. The problem of value interference does not affect the ability of target extraction in the target area. A large number of hardware-in-the-loop simulation experiments were carried out. The results show that although the proposed method can not improve significantly in the background suppression factor, the performance of target detection in the two indicators of mean signal-to-noise ratio and signal-to-noise ratio gain of the proposed method are significantly enhanced. And among the three methods of image processing, the effect is the best. |
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