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. In this paper,
we developed a technique, based on multiresolution wavelet
decomposition, for the merging and data fusion of such images.
The method presented here consists of adding the wavelet
coefficients of the high-resolution image to the multispectral (lowresolution)
data. We 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 of the multispectral image. The method is, thus, an
improvement on standard intensity-hue-saturation (IHS or LHS)
mergers. We used the “`a trous” algorithm which allows to use a
dyadic wavelet to merge nondyadic data in a simple and efficient
scheme. We used the method to merge SPOT and LANDSAT
(TM) images. The technique presented is clearly better than the
IHS and LHS mergers in preserving both spectral and spatial
information.
By:Jorge N´u˜nez, Xavier Otazu, Octavi Fors, Albert Prades, Vicen¸c Pal`a, and Rom´an Arbiol
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