The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
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83.396 (SFIM), 87.621 (DBT) and 57.881 (МВТ), respectively. 
Therefore, the average CC index value of МВТ fusion method 
is also the highest among the three fusion methods and the 
spatial ERDAS index value of МВТ is also the lowest. So, МВТ 
fusion method also has the highest spatial information 
preservation with HSR image of IKONOS among three fusion 
methods. 
4. CONCLUSSIONS 
In this paper, МВТ has been proposed to fuse either individual 
band LSR images of high resolution remote sensing sensors, 
such as Quickbird or IKONOS. Three fusion methods, such as 
SFIM, DWT and МВТ, which all can be used to fuse each band 
LSR images independently, have been employed to fuse four 
bands LSR (MS) images with HSR (PAN) image of high 
resolution imageries including Quickbird and IKONOS. 
The spectral quality and spatial quality of the fused images 
based on Quickbird and IKONOS imageries have been 
evaluated by qualitative visual interpretation and quantitative 
statistical analysis. The evaluation results confirm that МВТ 
has optimal spatial information preservation with HSR image 
compared with SFIM and DWT in two fusion results of high 
spatial resolution images and SFIM has optimal spectral 
information preservation with LSR images of both Quickbird 
and IKONOS, respectively. 
ACKNOWLEDGEMENTS 
This work is financial supported by the National Natural 
Science Foundation of China (Grant #40672179), the Program 
for New Century Excellent Talent of Ministry of Education of 
China (Grant #NCET-07-0340) and the Special Prophase 
Project of Key Basic Researches of Ministry of Science and 
Technology of China (Grant #2004CCA02500). 
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