摘要
为解决复杂云层背景下红外弱小目标的检测问题,提出了基于改进SUSAN原则的检测方法,该方法通过重新定义SUSAN原则,改进模板形状,自适应设置阈值,使之对小目标极为敏感,抑制背景和噪声。实验证明,该算法对于信噪比小于2的弱小目标有较强的单帧检测能力。
For solving the problem of detection of infrared small dim target under complicated cloudy background, the new algorithm based on improved SUSAN principle is proposed. By redefined the principle of SUSAN, improved the shape of template, and set adaptive threshold, it can get highly sensitivity to small target and restrain the background and noise. Simulation results show that it is a high power to detect the small dim target with SNR less than 2 in single frame by using the algorithm.
出处
《激光与红外》
CAS
CSCD
北大核心
2006年第6期504-507,共4页
Laser & Infrared
关键词
SUSAN原则
小目标检测
自适应检测
principle of SUSAN
detection of small target
adaptive detection
