This study takes the southeastern part of Beijing as an example to compare four remote image fusionalgorithms for improving the visualization of Landsat7 ETM+ imagery. This paper introduces four remote image fusion a...
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This study takes the southeastern part of Beijing as an example to compare four remote image fusionalgorithms for improving the visualization of Landsat7 ETM+ imagery. This paper introduces four remote image fusionalgorithms including the Smoothing Filter Based Intensity Modulation (SFIM), High Pass Filter (HPF) Transform, Brovey Transform, and Multiplication (MLT) Transform. The effectiveness of the four remote image fusionalgorithms is evaluated based on different quantitative indexes, including mean, deviation, information entropy, average gradient and correlation. The study reveals that the SFIM transform is the best method to remain spectral information of the original remote image, which does not cause spectral distortion and has highest spatial frequency information. Moreover, the fused remote images from the same sensor system are of high quality and can be used for improving the latter visual interpretation.
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