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《Engineering of Surveying and Mapping》 2008-04
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Research on the fixel fusion methed of remote sensing image

ZHANG Qing-he1,ZOU Zheng-rong1,YU Jia-yong1,2(1.School of Info-Physicand Geomatics Engineering,Central South University,Changsha 410083,China;2.College of Civil Engineering,Hunan University,Changsha 410082,China)  
The fusion of remote sensing image is very significant for image classification,feature abstraction and target recognition.In this paper,the algorithms' implementation of IHS transform,principal component analysis(PCA),Brovey transform and Gram-schmidt transform have been studied methodically.And then,panchromatic band and multi-spectral band of QuickBird are used to assess the quality of these fusion algorithms.Finally,for assessing the quality of these images after fusion,information entropy,the gray scale mean value,correlation coefficient,standard deviation and vision effect are generally applied to quantitative assessment and qualitative evaluation.The result indicates that IHS transform has a harmony hue,better quality and preserve more spatial details.
【CateGory Index】: TP751
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