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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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