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基于改进SUSAN原则的小目标检测算法
引用本文:毕务忠,严高师.基于改进SUSAN原则的小目标检测算法[J].激光与红外,2006,36(6):504-507.
作者姓名:毕务忠  严高师
作者单位:电子科技大学光电信息学院,四川,成都,610054
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。

关 键 词:SUSAN原则  小目标检测  自适应检测
文章编号:1001-5078(2006)06-0504-04
收稿时间:2005-11-03
修稿时间:2005-11-03

Detection Algorithm of Small Target Based on Improved SUSAN Principle
BI Wu-zhong,YAN Gao-shi.Detection Algorithm of Small Target Based on Improved SUSAN Principle[J].Laser & Infrared,2006,36(6):504-507.
Authors:BI Wu-zhong  YAN Gao-shi
Affiliation:School of Optoelectronic information, UESTC, Chengdu 610054,China
Abstract: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.
Keywords:principle of SUSAN  detection of small target  adaptive detection
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