结合最优亮度分量的遥感图像融合方法

doi:10.3969/j.issn.1001-2400.2014.06.008

Abstract

Abstract:

The traditional Pan-sharpening method based on Intensity-Hue-Saturation transform leads to the spectral distortion problem. In this paper, a novel method is proposed for achieving the optimal intensity component to overcome this problem. According to the intensity component of the panchromatic image, the proposed method provides a global optimal weight for each single spectral image by using the Clone Selection Algorithm, which reflects the compromise proportion of each single spectral image and releases the spectrum correlation. The optimal intensity component constructed based on these weights acts actually as the panchromatic image. Using the ARSIS frame, the high-frequency information on the optimal intensity component is replaced by that of the panchromatic image to reconstruct the multi-spectral images with a high resolution by the inverse IHS. Experimental results on the data from the satellite QuickBird validate that the proposed method is effective in releasing the spectral distortion problem and enhancing the detailed information in the multi-spectral satellite images. The fused spectral images are of both high spatial resolution and low spectral distortion.

Key words: remote sensing, image fusion, intensity-Hue-Saturation transform, clone selection algorithm

LIU Fan;ZHANG Kai;JIAO Licheng;YANG Shuyuan. Novel Pan-sharpening method via an optimal intensity component[J].J4, 2014, 41(6): 45-50.

References

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Novel Pan-sharpening method via an optimal intensity component

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