. 
In: Wagner W., Székely, B. (eds.): ISPRS TC VII Symposium - 100 Years ISPRS, Vienna, Austria, July 5-7, 2010, IAPRS, Vol. XXXVIII, Part 7B 
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Figure 3 (b) IKONOS Pan image 
Figure 3 (c) Image fused by CT+HIS 
PKHHH sx v 1 mm 
Figure 3 (d) Image by NSCT+HIS 
Figure 3. IKONOS images and fused images 
Average 
correlation of pan 
to the fused image 
Entropy 
Average 
gradient 
CT+HIS 
0.81 
7.84 
39.1 
NSCT+HIS 
0.82 
7.86 
41.2 
Table 1. Performance measures for fused IKONOS images 
The results indicated in the Tables 1 and the visual inspection 
of the images of Figure 3 (c) and Figure 3(d) reveal that, in I 
general, the performances of the proposed algorithms 
outperform the algorithm CT+HIS. 
2. CONCLUSIONS 
A panchromatic image and multi-spectral images fusion 
technique is proposed in this paper, which is based on 
nonsubsampled contourlet transform combine with HIS 
transform. NSCT have better frequency characteristics than CT, 
comparison with CT+HIS method, the proposed fusion 
technique have better objective and subjective performances 
REFERENCES 
Arthur L Da C, Zhou J P, Do M N. 2006. The nonsubsampled 
contourlet transform: theory, design and application. IEEE 
Trans, on Image Process, 15(10),pp. 3089-3101. 
Do M N, Vetterli M. 2005.The contourlet transform: An 
efficient directional multiresolution image representation. 
IEEETrans. on Image Process, 14(12),pp.2091-2106. 
M. Choi, R.Y. Kim, M.-R. Nam, H.O. Kim, 2005. Fusion of 
multispectral and panchromatic satellite images using the 
curvelet transform. IEEE Geoscience and Remote Sensing 
Letters, vol.2, no.2,pp.!36- 140. 
M. E. Schetselaar, 2001.On Preserving Spectral Balance in 
Image Fusion and Its Advantages for Geological Image 
Interpretation. Photogrammetric Engineering & Remote sensing, 
vol.67(8), pp.925-934. 
Y. Chibani, A. Houacine, 2002.The joint use of IHS transform 
and redundant wavelet decomposition for fusingmultispectral 
and panchromatic mages. Int. J. Remote Sens., vol. 23, no. 18, 
pp.3821-3833. 
YANG X H, Jiao L C. 2008.Fusion Algorithm for Remote 
Sensing Images Based on Nonsubsampled Contourlet 
Transform. Acta automatica sinica, 34(3), PP 41-45