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- W2351232783 abstract "In this paper, we analyze the directional characteristics of contourlet coefficients in high frequency subbands of remote sensing images. And then we find that each coefficient in these subbands has obvious directionality. Based on this direc-tional characteristic, this paper proposes a novel image fusion algorithm for remote sensing images. First, we separately perform contourlet transform on the intensity component of the multi-spectral remote sensing image obtained by IHS transform, and the panchromatic remote sensing image. Second, we choose the low frequency coefficients of multi-spectral image’s intensity component to form the low frequency subband of target image. Subsequently, we compare the directional matching degree of the high frequency coefficients of the panchromatic image with those of the multi-spectral image’s intensity component to determine the high frequency subbands of target image. Finally, the target image is obtained by inverse contourlet transform and inverse IHS transform. Extensive experimental results show that the proposed method is superior to conventional methods in terms of entropy, joint entropy, and average gradient. It can enhance the spatial resolution of target images. Meanwhile, it well preserves the color information of multi-spectral images." @default.
- W2351232783 created "2016-06-24" @default.
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- W2351232783 date "2010-01-01" @default.
- W2351232783 modified "2023-09-28" @default.
- W2351232783 title "Remote sensing image fusion method based on the contourlet coefficients’ correlativity of directional region" @default.
- W2351232783 hasPublicationYear "2010" @default.
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