The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
5. CONCLUSIONS
We have presented a newly developed method based on the
PCA+astrous transform for fusing images. In this paper, an
experimental study was conducted by applying the proposed
method, and also other image fusion methods, for fusing
Quickbird images. A comparison of the fused image from the
astrous wavelet and PCA method was made.
This study is a successful experience with the PCA+astrous
wavelet transform based fusion approach. It is shown that
proposed wavelet transform approach improves the spatial
resolution of a multispectral image while it also preserves much
portion of the spectral component of the image.
This topic along with further formulation of fusion quality will be
our future effort of study.
REFERENCES
1. Ehlers M. Multisensor image fusion techniques in remote
sensing [J], ISPRS Journal of Photogrammetry and
Remote Sensing, 1991, 46(2): 19~30.
2. Jorge Nunez, Xavier Otazu, Octavi Fors, Alvert Prades,
Vicenc, Pala and Roman Arbiol. Multiresolution-Based
Image Fusion with Additive Wavelet
Decomposition, 1999,37(3): 1204~ 1211.
3. Li H, Manjunathe B S, Mitra S K. Multisensor image
fusion using the wavlet transform [J], Graphical Models
and Image Processing,1995,27(3):235~244.
4. Yocky D A. Image merging and data fusion by means of
the discrete two-dimensional wavelet transform[J], Jopt
Soc Am A, 1995,12(8): 1834~ 1841.
5. ZhijunWang, Djemel Ziou, Costas Armenakis, Deren Li
and Qingquan Li.A Comparative Analysis of Image
Fusion Methods. IEEE Transactions on Geoscience and
remote sensing,2005,43(6): 1391 ^— 1402.
Figure.2 (a) Detail of the Quickbird multispectral image. (b)Result of the fusion by astrous wavelet method. (c)Result of the fusion
by PCA. (d)Result of the fusion by PCA+astrous wavelt method.
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