摘要
Four data fusion methods, principle component transform (PCT), brovey transform (BT), smoothing filter-based intensity modulation(SFIM), and hue, saturation, intensity (HSI), are used to merge Landsat-7 ETM+ multispectral bands with ETM+ panchromatic band. Each of them improves the spatial resolution effectively but distorts the original spectral signatures to some extent. SFIM model can produce optimal fusion data with respect to preservation of spectral integrity. However, it results the most blurred and noisy image if the coregistration between the multispectral and pan images is not accurate enough. The spectral integrity for all methods is preserved better if the original multispectral images are within the spectral range of ETM+ pan image.
Four data fusion methods, principle component transform (PCT), broveytransform (BT), smoothing filter-based intensity modulation(SFIM) , and hue, saturation, intensity(HSI), are used to merge Landsat—7 ETM+ multispectral bands with ETM+ panchromatic band. Each ofthem improves the spatial resolution effectively but distorts the original spectral signatures tosome extent. SFIM model can produce optimal fusion data with respect to preservation of spectralintegrity. However, it results the most blurred and noisy image if the coregistration between themultispectral and pan images is not accurate enough. The spectral integrity for all methods ispreserved better if the original multispectral images are within the spectral range of ETM+ panimage.
