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基于小波的全局多源遥感图像信息融合方法
引用本文:陶洪久,柳健,田金文.基于小波的全局多源遥感图像信息融合方法[J].红外与激光工程,2002,31(4):346-350.
作者姓名:陶洪久  柳健  田金文
作者单位:1. 武汉理工大学,湖北,武汉,430063
2. 华中科技大学模式识别与人工智能研究所
基金项目:国防科技预研基金资助 (2 0 0 1 )
摘    要:提出的图像信息融合方法用于解决传统方法在空间分辨率等方面的不足。原始图像经过小波变换,分解成子图像,再进行分块处理,高、低分辨率图像根据全局方差准则分别计算融合的权值系数,进行图像融合重建,然后,对图像采用全局法进行信息融合,实验表明,方法切实可行,能使低分辨率图像接近于高分辨率图像。

关 键 词:遥感图像  小波变换  多源信息  信息融合  分辨率  权值
文章编号:1007-2276(2002)04-0346-05
收稿时间:2001/11/2
修稿时间:2001年11月2日

Information fusion for collectivity multi-sensor remote sensing image based on wavelet transform
TAO Hong-jiu ,LIU Jian ,TIAN Jin-wen.Information fusion for collectivity multi-sensor remote sensing image based on wavelet transform[J].Infrared and Laser Engineering,2002,31(4):346-350.
Authors:TAO Hong-jiu  LIU Jian  TIAN Jin-wen
Affiliation:TAO Hong-jiu 1,LIU Jian 2,TIAN Jin-wen 2
Abstract:A method of information fusion for collectivity multi\|sensor remote sensing image is presented based on wavelet transform. The disadvantages of traditional information fusion method on spatial resolution is improved. The original image is transformed into sub-image with wavelet transform and each sub-image is divided into sub-blocks. The weighting value coeffients of high resolution images and low resolution images are computed according to collectivity square error rule, and then the high resolution image and low resolution image are fused and reconstructed. Afterwords, information fusion is made on both of the images with collectivity square error rule. Experimental results show that the method is workable to make low resolution image approaching high resolution image.
Keywords:Wavelet transform  \ Multi-sensor information  \ Information fusion  \ Weighting value
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