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《Journal of Nanjing Forestry University(Natural Sciences Edition)》 2010-01
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Trial of image fusion methods and quality assessment for ETM+image

MENG Jing-hui1,LU Yuan-chang1,LIU Gang1,2,WANG Yixiang1,3 (1.Institute of Forest Resource Information Techniques,CAF,Beijing 100091,China;2.College of Horticulture and Forestry Science,Huazhong Agricultural University,Wuhan,430070,China;2.School of Environmental Technology,Zhejiang Forestry College,Lin'an,311300,China)  
In order to evaluate different fusion methods in merging pan band and multispectral band for ETM+ image,fusion methods such as color based technique,nominal technique and image transformation were used and tested.For the quality assessment of fusion methods,quantitative analysis was done using the following criteria: standard variation,information entropy,bias index,correlation coefficient. The result showed that there was an obvious improvement of the spatial resolution for all fusion methods.For the spectral fidelity,it was decreasing following such an order: Brovey,IHS,PC and Gram-Schmit.Brovey kept the maximum spectral information of the original image but the details of spatial information were the lowest.In contrast,IHS had the highest spatial information but the spectral fidelity was not encouraging.PC and Gram-Schmit were in the middle level concerned with the detail of spatial information and spectral fidelity.Brovey and IHS were the two best fusion methods for this study and the results made significant sense for work related with remote sensing in the study area.
【Fund】: “十一五”国家科技支撑计划(2006BAD23B01);; 国家自然科学基金项目(30671679)
【CateGory Index】: S771.8
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