摘要
为解决海空复杂背景下红外弱点目标的检测 ,提出了基于小波变换模极大的检测算法 .该算法通过计算小波变换模极大值求出图像中的所有奇异点 ,去除由复杂背景形成的模极大值链 ,消除云层、海浪及水天线等复杂背景 ,提高了单帧点目标检测能力 .结果表明 ,该算法可检测信杂比为
The new algorithm based on wavelet transform modulus maxima was presented to resolve the problem of weak infrared point targets detection under the complicated background of sea and sky. All the singularity points were got through the wavelet transfrom modulus maxima. The algorithm eliminates the complicated background of clouds, offing and sea antenna, enhances the ability of point target detection in single frame. Experimental results show that the algorithm can detect the point targets with SCR of 2.
出处
《红外与毫米波学报》
SCIE
EI
CAS
CSCD
北大核心
2000年第2期121-124,共4页
Journal of Infrared and Millimeter Waves
基金
国防科技重点预研基金!(编号43.7.2.2.2 )资助项目
关键词
红外图像处理
点目标检测
海空复杂背景
infrared image processing, point target detection, wavelet transform.