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《Geo-information Science》 2004-01
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Evaluation on Image Fusion Algorithms of Landsat-7 ETM+ PAN Band and Multispectral Bands

XU Rongfeng , XU Hanqiu ( Department of Environment & Resources Engineering, Fuzhou University, Fuzhou, Fujian 350002, China)  
The Landsat-7 ETM+ Panchromatic band is taken simultaneously with multispectral bands using the same sensor system. The solar illumination and other environmental conditions are identical. They are received at the same time. The two data sets, therefore, can achieve the best fusion result without coregistration. Now there are many image fusion algorithms. Four fusion algorithms are applied to the data fusion between Landsat-7 ETM+ PAN band and multispectral bands respectively to determine which one is the best suitable methods for ETM+ image. The four fusion algorithms include HIS transformation, Brovey transformation, SFIM transformation and Weighting fusion. The result of different merging methods are evaluated qualitatively and quantitatively by comparison with the spectral fidelity and the spatial texture information. The study indicates that Smoothing Filter-Based Intensity Modulation (SFIM) is very fit for fusion with ETM+ images on the whole. SFIM technique distorts the spectral quality slightly, and at the same time improves the spatial resolution apparently.
【Fund】: 国家教育部骨干教师专项资助项目.
【CateGory Index】: TP751
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