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一种多光谱红外舰船图像多级融合方法 被引量:2

Multi-spectral infrared ship image multi-level fusion method
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摘要 针对复杂背景下多光谱红外舰船目标图像融合问题,根据不同谱段中目标与背景,杂波光谱特性的差异性,结合杂波产生随机性特点和不同谱段信息的相关性,提出了一种红外多谱段图像多级融合算法。首先根据不同谱段信息相互间关系进行融合分级,然后对同一级中图像分别进行NSCT分解,再采用基于局部能量比和基于局部能量加权的方法进行低频系数融合,采用基于尺度方差选大法进行高频系数融合,最后通过NSCT重构得到融合图像。实验结果表明,本文提出的多级融合算法有效保留目标细节信息,增加信息量,利于目标检测。 In order to solve the multi-spectrum image fusion problem of infrared ship targets under complex background,according to the difference of the spectral characteristics of the target and background in different spectral segments and clutter,combined with the randomness of clutter generation and the correlation of different spectral segment information,an infrared multi-spectral image multi-level fusion algorithm is proposed. Firstly,according to the relationship between the information of different spectral segments,the fusion and classification are performed. Then,the images in the same level are separately decomposed by NSCT,and then the low-frequency coefficient fusion is performed by the methods based on local energy ratio and local energy weighting,the high-frequency coefficient fusion is performed using a method based on scale variance selection,and fusion images are finally obtained through NSCT reconstruction. Experimental results show that the multi-spectral infrared ship image multi-level fusion algorithm proposed in this paper effectively preserves the target details,increases the amount of information,and facilitates target detection.
作者 詹维 张健 郭明 马新星 ZHAN Wei;ZHANG Jian;GUO Ming;MA Xin-xing(Naval Aeronautics University,Yantai 264001,China;Naval University of Engineering,Wuhan 430000,China)
出处 《激光与红外》 CAS CSCD 北大核心 2019年第2期240-245,共6页 Laser & Infrared
关键词 多光谱 舰船图像 图像融合 多级融合 NSCT multi-spectrum ship image image fusion multi-level fusion NSCT
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