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遥感技术与应用  2011, Vol. 26 Issue (4): 444-449    DOI: 10.11873/j.issn.1004-0323.2011.4.444
图像与数据处理     
一种Curvelet变换和IHS变换相结合的遥感图像融合方法
陈超1,秦其明1,池长艳2,蒋洪波1,刘明超1
(1.北京大学遥感与地理信息系统研究所,北京100871;
2.北京天下图数据技术有限公司,北京100037)
A Remote Sensing Image Fusion Method based on Curvelet Transform and IHS Transform
CHEN Chao1,QIN Qi-ming1,CHI Chang-yan2,JIANG Hong-bo1,LIU Ming-chao1
(1.Institute of Remote Sensing and Geographic Information System,Peking University,
Beijing 100871,China;2.Peace Map Co.,Ltd,Beijing 100037,China)
 全文: PDF(4447 KB)  
摘要:

根据图像处理中所用的不同数学模型的特点,提出了一种Curvelet变换和IHS变换相结合的遥感图像融合方法。首先对多光谱图像进行IHS变换,然后利用Curvelet变换对I分量和高分辨率图像进行融合,最后进行IHS逆变换,得到融合结果图像。结果表明,该方法在保持源数据光谱特性方面优势突出,其融合结果可以应用于以光谱分析为主的领域。

关键词: 遥感图像融合 Curvelet变换 IHS变换 精度评价    
Abstract:

Based on the features of the different mathematical models during the image processing,we proposed a remote sensing image fusion method,which is based on Curvelet transform and IHS transform.Firstly,the IHS transform is applied to multi\|spectral image; then,the I component and the high\|resolution image are fused through Curvelet transform; finally,we can obtain the result by inverse IHS transform.The experimental results show that the method has outstanding advantages,which maintain the spectral characteristics of the source image,and its results can be applied to the field of spectral analysis.

Key words: Remote sensing image fusion    Curvelet transform    IHS transform    Precision evaluation
收稿日期: 2011-01-28 出版日期: 2011-08-23
:  TP 751  
基金资助:

“高分辨率对地观测系统专项”项目资助。

通讯作者: 秦其明(1955-),男,江苏徐州人,教授,博士生导师,主要从事定量遥感研究。Email:qmqinpku@163.com。     E-mail: chenchao_pku@163.com
作者简介: 陈超(1982-),男,山东成武人,博士研究生,主要从事空间信息智能处理与理解研究。Email:chenchao_pku@163.com。
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引用本文:

陈超,秦其明,池长艳,蒋洪波,刘明超. 一种Curvelet变换和IHS变换相结合的遥感图像融合方法[J]. 遥感技术与应用, 2011, 26(4): 444-449.

CHEN Chao,QIN Qi-ming,CHI Chang-yan,JIANG Hong-bo,LIU Ming-chao. A Remote Sensing Image Fusion Method based on Curvelet Transform and IHS Transform. Remote Sensing Technology and Application, 2011, 26(4): 444-449.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.4.444        http://www.rsta.ac.cn/CN/Y2011/V26/I4/444

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