首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波变换的IRS与TM遥感卫星影像融合
引用本文:薛天民,张玮,严泰来,吴连喜.基于小波变换的IRS与TM遥感卫星影像融合[J].中国农业大学学报,2003,8(1):47-50.
作者姓名:薛天民  张玮  严泰来  吴连喜
作者单位:中国农业大学,信息与电气工程学院,北京100083
基金项目:国家基础研究资助项目 973 G19990 4 5 70 8
摘    要:本研究在整体小波变换融合方法基础上,提出了基于对比度的局部特征选择加权小波变换影像融合方法,并以多光谱TM和高空间分辨率IRS-1C全色波段图像为例,与色彩空间变换HIS融合方法进行图像融合效果的比较分析试验。试验表明基于对比度的局部特征选择加权小波变换影像融合方法能在最大限度保持多光谱影像光谱信息的同时,增强了影像的纹理信息。

关 键 词:小波变换  HIS融合方法  遥感卫星影像融合  对比度  局部特征选择加权融合算法
文章编号:1007-4333(2003)01-0047-04
修稿时间:2002年5月20日

IRS and TM remote sensing image fusion based on wavelet transform
Xue Tianmin,Zhang Wei,Yan Tailai,Wu Lianxi.IRS and TM remote sensing image fusion based on wavelet transform[J].Journal of China Agricultural University,2003,8(1):47-50.
Authors:Xue Tianmin  Zhang Wei  Yan Tailai  Wu Lianxi
Abstract:By image fusion, many kinds of remote sensing data can be synthesized, and supplementary mutual advantage can be realized by obtaining the exact information efficiently. This paper introduced the principles and characteristics of wavelet transform in fusion of remote sensing satellite image, and a new fusion method was then presented which is called partial selected weight mallat wavelet transform, based on contrast, after improving traditional wavelet transform. IRS 1C panchromatic and TM multi spectral image data were used in comparative experiment; the result was compared with HIS method in terms of image quality. It is showed that the proposed method maximizedly preserves the Texture information of the original IRS panchromatic data, as well as the spectral content of the TM data, and is better than other conventional methods.
Keywords:image fusion  wavelet transform  contrast
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《中国农业大学学报》浏览原始摘要信息
点击此处可从《中国农业大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号