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遥感技术与应用  2009, Vol. 24 Issue (6): 806-812    DOI: 10.11873/j.issn.1004-0323.2009.6.806
技术研究与图像处理     
于试验分析确立融合模型的 IHS—小波变换融合方法
宋鹏飞1,2,张  霞2,王晋年2,田庆久1

  
1.南京大学国际地球系统科学研究所,江苏 南京  210093;
 2.中国科学院遥感应用研究所,北京  100101
The IHS—Wavelet Image Fusion Method Using Fusion Model Based on Experimental Analysis
SONG Peng-fei 1 2,ZHANG Xia 2,WANG Jin-nian 2,TIAN Qing-jiu 1
  
1 .International Institute for Earth System Science,Nanjing University,Nanjing 210093,China;
2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China
       
 全文: PDF(1466 KB)  
摘要:

在多光谱和全色影像分辨率相差较大情况下,IHS遥感影像融合方法会因光谱分配问题导致一定的光谱扭曲;而小波变换方法在变换域具有良好的分频特性,且融合规则和算子对融合效果作用明显。将IHS和小波变换结合,通过试验分析发现小波分解得到的低频部分与光谱信息关系密切、高频部分与空间信息关系密切。在试验分析的基础上分别给出低频、高频部分的融合规则和算子,应用于BJ-1卫星数据的自身融合验证表明,在保持空间清晰度的同时能够明显地降低光谱扭曲程度,较好解决了其多光谱和全色影像分辨率相差较大对数据融合的影响,相比传统的IHS方法有效降低了光谱扭曲。
     

关键词: HS小波分解融合模型光谱扭曲BJ-1    
Abstract:

IHS image fusion method causes spectral distortion due to spectral allocation error when a big spatial resolution difference exists between the multispectral image and the panchromatic one.Wavelet decomposition,with properties of frequency division in transform domain,has its results depended on fusion rules and algorithm.This paper focuses on modifying IHS method with wavelet decomposition.The experimental analysis demonstrates that low frequency component is correlated strongly with spectral information and high frequency embodies spatial information,which leads to the practical fusion rules and algorithms for both low and high frequency component.When applying the improved HIS-Wavelet fusion policy to BJ-1 multispectral and panchromatic images,we gain fused image with both high spatial definition and low spectral distortion,which indicates the effective removal of bad-effects on image fusion caused by big spatial resolution difference between multispectral image and panchromatic one.
     

Key words: IHS fusion         Wavelet decomposition         Fusion model         Spectral distortion         BJ-1
收稿日期: 2009-05-13 出版日期: 2012-01-06
基金资助:

 国家科技支撑计划课题(2007BAH15B01)。

 

作者简介: 宋鹏飞(1984- ),男,硕士研究生,主要研究方向为遥感影像处理与分析。E-mail:song_pengfei@163.com。
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引用本文:

宋鹏飞, 张霞, 王晋年, 田庆久. 于试验分析确立融合模型的 IHS—小波变换融合方法[J]. 遥感技术与应用, 2009, 24(6): 806-812.

SONG Peng-Fei, ZHANG Xia, WANG Jin-Nian, TIAN Qiang-Jiu. The IHS—Wavelet Image Fusion Method Using Fusion Model Based on Experimental Analysis. Remote Sensing Technology and Application, 2009, 24(6): 806-812.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.6.806        http://www.rsta.ac.cn/CN/Y2009/V24/I6/806

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