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Cited by 1,125

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Multiresolution-based image fusion with additive wavelet decomposition

Open access
Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., Arbiol, R.·1999·IEEE Transactions on Geoscience and Remote Sensing

Abstract

The standard data fusion methods may not be satisfactory to merge a high-resolution panchromatic image and a low-resolution multispectral image because they can distort the spectral characteristics of the multispectral data. The authors developed a technique, based on multiresolution wavelet decomposition, for the merging and data fusion of such images. The method presented consists of adding the wavelet coefficients of the high-resolution image to the multispectral (low-resolution) data. They have studied several possibilities concluding that the method which produces the best results consists in adding the high order coefficients of the wavelet transform of the panchromatic image to the intensity component (defined as L=(R+G+B)/3) of the multispectral image. The method is, thus, an improvement on standard intensity-hue-saturation (IHS or LHS) mergers. They used the "a trous" algorithm which allows the use of a dyadic wavelet to merge nondyadic data in a simple and efficient scheme. They used the method to merge SPOT and LANDSAT/sup TM/ images. The technique presented is clearly better than the IHS and LHS mergers in preserving both spectral and spatial information.

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Metadata

Authors
Nunez, J., Otazu, X., Fors, O., Prades, A., Pala, V., & Arbiol, R.
Venue
IEEE Transactions on Geoscience and Remote Sensing
Published
1999-05
Volume
37
Issue
3
Pages
1204-1211
ISSN
0196-2892 (ISSN-L)
OpenAlex
W2152254169
Cited by
1,125
References
2
FWCI
43.55
Type
journal article
Language
en
Open access
green

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