The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
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in which the aliasing patterns, present in MS images, and hence
also in the intensity image, are cancelled when the intensity
image is subtracted from each of the spectral bands. Similarly,
the aliasing artifacts also disappear in images fused by the
eSWI-Trous and the eFSWI-Framelets methods. However, the
aliasing artifacts still appear in images fused by the eSW-
Wavelets method. Consequently, the elHS, the eSWI-Trous and
the eFSWI-Framelets methods are more acceptable for visual
analysis.
(e) (f)
Figure 5. The results of full-scale visual fusion: (a) the PAN
image; (b) the resampled original MS image; (c) fused by the
elHS; (d) fused by eSW-Wavelets; (e) fused by eSWI-Trous; (f)
fused by the eFSWI-Framelets.
5. CONCLUSION
We present the new hybrid fusion method based on the FIHS
transform with a control parameter along with the framelet
transform, and validate this new approach by merging an
IKONOS PAN image with MS images. To analyze the spatial
and spectral quality of the resulting images, we used the seven
quality indices, namely the bias, CC, SD, ERGAS, SAM, Q4,
and sCC, and compared the results with the quality of images
fused by other methods of image fusion. In sum, the proposed
method produces more satisfactory results, both visually and
quantitatively.
ACKNOWLEDGMENT
We would like to thank Prof. Paolo Gamba for supplying the
quantitative evaluation programs which are provided by the
IEEE GRSS DFTC, © L. Alparone.
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