多源遥感图像融合算法研究  

Research on the algorithms of multi-source remote sensing image fusion

作　　者：张寅玥[1] 付炜[1] 

机构地区：[1]燕山大学信息科学与工程学院,秦皇岛066004

出　　处：《电子测量技术》2010年第6期34-38,共5页Electronic Measurement Technology

摘　　要：图像融合是图像处理技术发展的一个重要内容,多源遥感图像融合作为图像融合领域的一个重要分支,已经成为遥感技术领域的研究热点。根据多源遥感图像融合技术的研究现状,简要概括了遥感图像融合的基本概念;从算法原理着手,研究分析了多源遥感图像常用的融合算法的优缺点,如IHS变换法、Brovey变换法、主成分分析法、小波变换法等;探讨了遥感图像融合中的各种评价指标;指出了遥感图像融合的发展方向,为以后相关研究提供参考和借鉴。Image fusion is an important aspect of image processing technology.As one of the important aspect of image fusion,multi-source remote sensing image fusion has attracted many attentions in remote sensing field.According to the research of multi-source remote sensing image fusion technology,the paper summarizes the conception of remote sensing image fusion.From the beginning of the principle of the algorithms,it also researches and analyzes the advantages and disadvantages of the algorithms of multi-source remote sensing image fusion,such as IHS transform method,Brovey transform method,principal component analysis method,wavelet transform method,etc;and discusses assessment index of remote sensing image fusion.Finally,it indicates the development direction of remote sensing image fusion.The paper provides consultation and reference for future research.

关 键 词：遥感图像融合 融合算法 融合评价 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]