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Visual remote sensing image fusion using local correlation moment

Visual remote sensing image fusion using local correlation moment
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摘要 In this paper a fusion method is proposed for merging a high-resolution panchromatic image and a lowresolution multispectral image. The algorithm is based on discrete wavelet transform (DWT). It uses correlation moment rule to the low frequency bands and local deviation rule to the high frequency bands separately. Experimental results indicate that the proposed approach outperforms the traditional methods. In this paper a fusion method is proposed for merging a high-resolution panchromatic image and a lowresolution multispectral image. The algorithm is based on discrete wavelet transform (DWT). It uses correlation moment rule to the low frequency bands and local deviation rule to the high frequency bands separately. Experimental results indicate that the proposed approach outperforms the traditional methods.
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2004年第9期516-519,共4页 中国光学快报(英文版)
基金 This work was jointly supported by the National Natural Science Foundation of China(No. 60375008) China National '863' Project(No.2001AA135091) Shanghai Key Scientific Project(No. 02DZ15001) Aviation Science Foundation(No. 02D57003) China Ph.D Discip
关键词 Correlation methods Image processing Remote sensing Wavelet transforms Correlation methods Image processing Remote sensing Wavelet transforms
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