摘要
针对红外图像掠海小目标信噪比低,且易受到水天线和背景杂波干扰的特点,提出了一种红外掠海小目标的提取与检测算法。该方法的特点是:首先采用中值滤波来减小噪声,并提出了差方和算法,用以抑制背景噪声并对目标增强;再采用了图像行扫描法有效地滤除水天线;最后通过弱化背景边缘和阈值分割等综合算法得到候选小目标。仿真结果表明,该算法达到了较好的效果。
Considering the IR target’s characteristics such as low signal-to-noise ratio, and the targets near the horizon are disturbed by the background edge clutters, an improved method is presented to solve the problems in this paper. At first, noise is reduced by median filtering. Secondly, the DQS (Difference Quadratic Sum) algorithm is presented to restrain the background noise and enhance the targets. Thirdly, the horizon is filtered by line scanning and the background edge is suppressed. At last, after image threshold segmentation, the canditated targets are extracted. The simulation result shows that the algorithm achieves a high availability and reliability in dim targets detection.
出处
《光学与光电技术》
2004年第6期26-29,共4页
Optics & Optoelectronic Technology
关键词
小目标
差方和算法
行扫描
dim targets
DQS algorithm
line scanning
