摘要
高光谱图像融合是改善其图像质量的重要途径。将高光谱图像融合分为高光谱自身波段间的融合及其与高空间分辨率的其他遥感图像如全色图像等融合两大类。从分析高光谱图像融合特点入手,回顾了近年来出现的融合算法,阐述了其基本原理,进行了归纳、分类,指出各自的优缺点,并总结了现行高光谱图像融合算法的评价方法。最后,探讨了高光谱图像融合下一步的研究方向。
Hyperspectral images share rich spectral information while it also has the problem of data redundancy and low spatial resolution.Image fusion is an effective way to improve its quality.According to the resource images of fusion,hyperspectral fusion can be classified into fusion among bands of hyperspectral data and fusion with images having higher spatial resolution such as panchromatic image.In this paper,main fusion methods of hyperspectral image are reviewed.The basic theory of those algorithms is analyzed and their advantages and disadvantages are also discussed.Besides,current fusion algorithm evaluation including indexes and methods is also summarized.At last,the direction of future research of this field is given.
出处
《舰船电子工程》
2017年第1期27-31,110,共6页
Ship Electronic Engineering
基金
吉林省科技发展计划资助项目(编号:20140101213JC)
吉林省教育厅"十二五"科研项目(编号:2015448)资助
关键词
高光谱
图像融合
融合算法评价
hyperspectral imagery
image fusion
fusion algorithm evaluation
