摘要
目标特性分析是研究目标探测性能的一个重要环节,包括目标(和背景)的辐射特性、辐射的大气传输特性、探测器的成像特性、目标自身特征等。目前对目标特性分析的图像融合算法的研究很少,本文针对这一不足,分析了红外与微光情况下的目标特性,在此基础上,确定了图像融合算法中的加权系数和最终融合图像。对实验结果进行了定性的主观分析,结果表明:基于目标特性分析的红外与微光图像融合算法能够更有效、准确地提取图像中的目标特征,更有利于目标的探测识别。
Target characteristic analysis is an important part of studying target detection performance, which includes the radiation characteristics of target （and background） ,the atmosphere transmission characteristics of the radiation, the imaging characteristics of the detector and target＇ s own characteristics and so on. At present,the image fusion al- gorithm of target characteristic analysis is scanty. Aiming at this flaw, the target characteristic in the case of infrared and low-light-level（LLL） is analyzed. Based on this, weighting coefficient of the image fusion algorithm is deter- mined. The experimental results are analyzed qualitatively, which shows： infrared and LLL image fusion algorithm based on the target characteristic can extract the target characteristic efficiently and accurately, and it is more benefi- cial to target detection and recognition.
出处
《激光与红外》
CAS
CSCD
北大核心
2014年第1期56-60,共5页
Laser & Infrared
关键词
目标特性
图像融合
人眼视觉
characteristics of target
image fusion
human vision
