多源图像融合及效果评价综述  

A Review of Multi-source Image Fusion and Its Effect Evaluation

作　　者：冀鲸宇 王长龙 李永科 张玉华 JI Jingyu;WANG Changlong;LI Yongke;ZHANG Yuhua(Department of UAV Engineering,Campus of Army Engineering University in Shijiazhuang,Shijiazhuang 050000,China)

机构地区：[1]陆军工程大学石家庄校区无人机工程系,石家庄050000

出　　处：《电光与控制》2022年第5期59-65,共7页Electronics Optics & Control

基　　金：国防基金。

摘　　要：多源图像融合在各种视觉领域中应用广泛,它将多个图像的特征信息整合集中到一幅图像上。过去的几十年中,多源图像融合方法日益增多,但依然不能完全满足需求。为了设计出在准确性、鲁棒性和效率等方面具有优异性能的融合方法,需要对经典和最新技术进行全面系统的回顾和分析,以寻找新的突破口。遵循多源图像融合的流程,介绍图像融合的分类、框架以及一些方法技术,并以不同的视角提出一种新的图像融合方法分类体系;对融合评价方法进行了全面概括;最后,介绍图像融合的几种应用场合,并对多源图像融合未来的发展趋势进行展望。Multi-source image fusion is widely used in various visual fields,which integrates the feature information of multiple images into one image.In the past decades,the methods of multi-source image fusion have been increasing,but they still cannot fully meet the needs of users.In order to design a fusion method with excellent performance in terms of accuracy,robustness and efficiency,it is necessary to comprehensively and systematically review and analyze the classic and the latest technologies so as to find new breakthroughs.Following the process of multi-source image fusion,the classification,framework and some methods of image fusion are introduced,and a new classification system of image fusion methods is proposed from a different perspective.Then,a comprehensive summary is made on the fusion evaluation methods.Finally,several applications of image fusion are presented,and the future development trend of multi-source image fusion is prospected.

关 键 词：多源图像融合 融合方法 效果评价 综述 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]