Dim small targets detection based on horizontal-vertical multi-scale grayscale difference weighted bilateral filtering
投稿时间:2019-08-21  修订日期:2020-04-03  download
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朱含露 中国科学院上海技术物理研究所 中国科学院智能红外感知重点实验室 zhuhanlu19920@163.com 
张旭中 中国科学院湖州应用技术研究与产业化中心  
陈忻 中国科学院上海技术物理研究所 中国科学院智能红外感知重点实验室  
胡亭亮 中国科学院上海技术物理研究所 中国科学院智能红外感知重点实验室  
饶鹏 中国科学院上海技术物理研究所 中国科学院智能红外感知重点实验室  
Abstract:In order to effectively detect weak and small infrared targets under complex background, a single-frame method based on horizontal-vertical multi-scale grayscale difference (HV-MSGD) is proposed to enhance weak targets, and the strong edges of background are suppressed by the difference between the distance and grayscale values. There is discontinuity between the target area and the surrounding area. To strengthen their differences, HV-MSGD combined with bilateral filtering (BF) can increase the intensity of the target while suppressing the background. Candidate targets are further extracted by adaptive local threshold segmentation and global threshold segmentation. In order to further verify the impact on single-frame detection, the above-mentioned single-frame detection algorithm is combined with an improved untraced Kalman particle filter (UPF) to implement trajectory detection. The experimental results show that this method is better than other methods under weak signal-to-noise ratio (SNR). It can enhance the target while suppressing the background, and the enhancement effect is 6-30 times that of other methods. In the experiments, the input signal-to-noise ratios were 2.78, 1.77, 1.79, 1.13, and 1.16, respectively. After image processing, the background suppression factors (BSF) are 13.48, 21.33, 11.73, 20.63, and 121.92, and the signal-to-noise ratio gains (GSNRs) are 40.09, 71.37, 27.53, 12.65, and 131, respectively. The probability of detection (Pd) of this method is also superior to other algorithms. When the false alarm rate (FAR) is , , , , and , the Pd values of the five sets using real sequence images are calculated to be 94.4%, 92.2%, 91.3%, 95.6% and 96.7% respectively.
keywords:dim target detection  multi-scale grayscale difference  distance and pixel difference  local threshold segmentation  global threshold segmentation
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Copyright:《Journal of Infrared And Millimeter Waves》