CAJ | 학술논문

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。
목표특성분석시연구목표탐측성능적일개중요배절，포괄목표（화배경）적복사특성、복사적대기전수특성、탐측기적성상특성、목표자신특정등。목전대목표특성분석적도상융합산법적연구흔소，본문침대저일불족，분석료홍외여미광정황하적목표특성，재차기출상，학정료도상융합산법중적가권계수화최종융합도상。대실험결과진행료정성적주관분석，결과표명：기우목표특성분석적홍외여미광도상융합산법능구경유효、준학지제취도상중적목표특정，경유리우목표적탐측식별。
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.