红外技术, 2015, 37 (1): 16, 网络出版: 2015-03-23
海面红外小目标检测算法研究
Research on the Detection Algorithm for Infrared Small Target on the Sea
摘要
针对海面红外图像中出现的海面杂波和孤立噪声点的问题,采用了一种将空间域的滤波结果在时间域进行二次滤波的方法,实时地检测海面图像中的小目标.在空间域上,根据海面杂波具有一定方向性的特点,设计了 4种方向的结构元素分别进行形态学运算来抑制海面杂波,再使用均值融合准则进行融合.在时间域上,利用目标在帧间的运动具有连续性而噪声点不具有该性质的特点,采用均值加权滤波的方法来滤除孤立噪声点,最后使用自适应门限分割检测出小目标.实验结果表明,本文算法在复杂海面环境下,能有效地抑制海面杂波和孤立噪声点的影响,减小虚警率,是一种有效的海面小目标检测方法.
Abstract
Aiming at the sea clutter and the isolated noise problem appeared in the infrared image of sea surface in a method of spatial-temporal continuous filter is put forward.Based on the sea clutter has certain direction features,structural elements are designed to domorphological open operation,thenuse the mean fusion rules to fusion images.Due to the small target in the framesis continuous and the noise point is not,the method of weighted mean filter is adopted.Finally,an adaptive threshold segmentation is used to detect the small targets.The experimental results show that the algorithm can effectively restrain the influence of sea clutter,filter the isolated noise points.It is an effective algorithm for sea small target detection.
刘杰, 安博文. 海面红外小目标检测算法研究[J]. 红外技术, 2015, 37(1): 16. LIU Jie, AN Bo-wen. Research on the Detection Algorithm for Infrared Small Target on the Sea[J]. Infrared Technology, 2015, 37(1): 16.