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《Geomatics World》 2011-05
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Image Fusion and Evaluation of ETM and SPOT——A Case of Lushan Region

YANG Ze-yu,WEI Yu-chun(Geography Science College,Nanjing Normal University,Nanjing 210046,China)  
The image fusion of different spatial resolution images,not only provides more abundant information for image processing,but also is conductive to the image analysis and mapping production.In this paper,typical fusion algorithms were compared and evaluated based on Landsat ETM image of May 11,2009 and PAN SPOT5 image of May 11,2009,which covers Lushan and the surrounding region.The fusion algorithms used include weighted fusion,IHS transform,improved IHS transform,high frequency modulation fusion method(Butterworth filter,exponent filter),HSV transform,Brovey transform,CN transform,PC transform,and Gram-Schmidt transform.The evaluation parameters used are correlation coefficient,information entropy,standard deviation,average gradient,relative deviation,and standard deviation.The results showed that different fusion methods had different feature.Some methods such as weighted fusion method,Gram-Schmidt transform,PC transform method highlighted image information-rich degrees,clarity,and space resolution.Other methods such as CN spectrum of sharpening,improved IHS transform,BW0 high frequency modulation fusion,exponent high frequency modulation fusion could keep the better image spectrum feature.The improved IHS and BW0 high frequency modulation fusion,CN spectrum of sharpening,exponent high frequency modulation fusion keep much more balance.
【Fund】: 国家自然科学基金项目(40771152)资助;; 江苏省普通高校自然科学研究计划项目(09KJA420001 07KJB420062)资助
【CateGory Index】: TP79;P237
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