针对远距离掠海小目标对比度低、容易受干扰、提取困难的问题,提出了一种红外掠海小目标的自动检测与威胁计算方法。通过对红外成像系统建模分析,结合图像海天线位置,确定目标威胁区域,然后利用形态学滤波器抑制图像背景,最后统计可疑目标的特征信息,对可疑目标进行威胁程度评估,选出威胁程度最高的目标进行跟踪。实验结果表明该算法对海天线附近的目标有很好的检测效果,海面目标威胁系数分布在0~5.104之间,且与目标亮度、尺度和位置相关,计算得到的威胁程度与人为主观判断符合度很高,该算法具有比较重要的参考价值。

Aiming at the problems of long-distance sea-scanning small targets with low contrast, easy interference and difficult extraction, an automatic detection and threat calculation method for infrared sea-scanning small targets was proposed. By modeling and analyzing the infrared imaging system, combining the position of the image sea-sky line to determine the target threat area, and then using morphological filters to suppress the background of the image, and finally counting the characteristic information of the suspicious target, evaluating the threat level of the suspicious target, and selecting the threat level, the highest target is tracked. The experimental results show that the algorithm has a good detection effect on targets near the sea antenna. The threat coefficient of the sea surface target is distributed between 0 and 5. 104, and it is related to the target brightness, scale and position. The calculated threat coefficient is consistent with human subjective judgment. The degree is very high, and the algorithm has important reference value.