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雷达与光学图像小波融合方法研究
引用本文:高文涛,汪小钦,凌飞龙.雷达与光学图像小波融合方法研究[J].地球信息科学,2007,9(4):129-132,139.
作者姓名:高文涛  汪小钦  凌飞龙
作者单位:福州大学空间数据挖掘与信息共享教育部重点实验室福州大学省空间信息工程研究中心, 福州 350002
基金项目:国家自然科学基金项目(40301039).
摘    要:本文基于区域差的绝对值,提出了一种新的双正交小波融合算法,并应用于TM与JERS-1SAR的融合研究中。该方法与传统的小波融合相比,更能充分利用参与融合影像的信息,具有更强的数字图像细节表征能力;与基于区域方差的小波融合相比,具有更小的计算量;与主成分融合、乘法融合及Brovey融合等方法相比,具有更好的光谱保持能力,且该小波融合结果更清晰。实验表明,该算法是一种实用有效的融合法。

关 键 词:区域差的绝对值  双正交小波变换  影像融合  TM  JERS-1SAR  
收稿时间:2006-09-27;
修稿时间:2006-09-272007-01-29

A New Fusion Algorithm Study for SAR and Optical Images Based on Wavelet Transform
GAO Wentao,WANG Xiaoqin,LING Feilong.A New Fusion Algorithm Study for SAR and Optical Images Based on Wavelet Transform[J].Geo-information Science,2007,9(4):129-132,139.
Authors:GAO Wentao  WANG Xiaoqin  LING Feilong
Institution:Key Lab. of Data Mining & Information Sharing ( Fuzhou University), Ministry of Education, Spatial Information Research Center, Fuzhou University , Fuzhou 350002
Abstract:A new biorthogonal wavelet fusion algorithm was developed based on the absolute values of the difference of local area of the images. The algorithm was applied to the images of TM and JERS-1 SAR. The algorithm has stronger ability to describe the digital images' details and to compound the images' information than traditional wavelet fusion algorithms,and it needs less computation than those based on variance. It is a better way to preserve the spectral feature and detailed information than those algorithms of the PCA fusion,multiplicative fusion and Brovey fusion. The results of experiment show that the algorithm is highly flexible and practical.
Keywords:absolute values of the difference of local area of the image  biorthogonal wavelet transform  image fusion  TM  JERS-1 SAR
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