高杂波海天背景下红外图像中舰船目标的检测

Ship detection in IR image under complex clutter sea-sky background

针对高杂波背景条件下的红外图像中舰船目的检测问题进行研究。在分析海空背景下的红外图像特征的前提下,先对捕获到的红外图像进行背景抑制、海天线检测等预处理以提高舰船目标提取的准确性,然后依照检测出的海天线划定目标检测小区域,再利用相邻帧图像间舰船目标运动的相关性确定真实目标,剔除虚警目标。用Matlab软件对算法进行仿真,实验结果证明本文算法有效,在一定条件下能够取得较好的识别率。

In this paper,the problem of infrared ship image detection under complex clutter background is studied. Based on the characteristics of the infrared sea-sky image,we firstly adopt the technologies such as background suppression,sea-sky line detection to preprocess the infrared image for improving the target extraction accuracy. Then,the potential targets region can be detected according to the sea-sky line. Finally,the real target is detected according to the correlation of ship motion between adjacent frames,rule out false alarm. The algorithm is simulated using MATLAB.The results proved that the algorithm is effective, and can achieve better recognition rate under certain conditions.