S.M. Barmas and S. Kasaei (Iran)
Fusion, multiresolution analysis, Contourlet transform.
Fusion of high spectral but low spatial resolution
multispectral and low spectral but high spatial
resolution panchromatic satellite images is a very
useful technique in various remote sensing
applications, such as change detection. Recently,
some studies showed that wavelet-based image
fusion methods provide high quality spectral content
of the fused image. However, most of wavelet-based
methods have a spatial resolution of the fused result
less than the Brovey, IHS, and PCA fusion methods.
This is mainly because real wavelet transform
cannot efficiently represent the singularity of
linear/curved contents. In this paper, we introduce a
new method based on the contourlet transform
which represents edges better than real wavelets.
Since edges play a fundamental role in image
understanding, one good way to enhance spatial
resolution is to enhance the edges. Here, we
proposed an automatic threshold for discarding weak
edges of panchromatic satellite images and strong
edges were then fused in multi-spectral images. We
evaluated the proposed approach on IRS satellite
images and gave the comparison among the results
obtained from the proposed method, the real wavelet
transform, and the IHS method.