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《Journal of Beijing Forestry University》 2007-S2
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QuickBird image fusion using ERDAS IMAGINE software.

MA You-ping~(1,2);FENG Zhong-ke~1;HE You-jun~3;ZHANG Zhi-hua~4.1 Institute of GIS,RS & GPS,Beijing Forestry University,100083,P.R.China;2 School of Biological Sciences and Biotechnology,Hubei Institute for Nationalities,Enshi City,445000,P.R.China;3 Research Institute of Forestry Policy and Information,Chinese Academy of Forestry,Beijing,100091,P.R.China;4 The Postgraduate Department,Southwest Forestry College,Kunming,650224,P.R.China.  
Based on the transforming of IHS and PCA,fusion process of multi——spectrum and panchromatic image was studied in this paper.The whole image processing,characteristic evaluation,average value and standard deviation were treated with ERDAS IMAGINE 8.5.Coefficients entropy and cross entropy were processed by Matlab Programme.The value of entropy,which was 15.865,processed by PCA was the highest and both of IHS and PCA had higher entropy values than primary image.Average values and standard deviation of all bands processed by PCA and IHS were almost equal to that of primary image.Results show that the PCA transforming is the best way of fusion processing and it not only maintains the characteristics of multi-spectrum,but also fuses the high resolution characteristics of panchromatic bands.
【Fund】: 国家自然科学基金(90302014)
【CateGory Index】: TP751
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