International Archives of the Photogrammetry, Remote Sensing an 
5. CONCLUSIONS AND DISCUSIONS 
(1). The PSF method for data fusion is a new, very simple and 
practical technique for data fusion. The image produced by the 
method can improve the spatial details and preserve the fidelity 
to the lower resolution image spectral properties. The latter is 
more important for image classification and spectral 
interpretation. 
(2). Different from the other data fusion methods, such as PCA 
and HIS, the proposed method can perform data fusion for an 
individual lower resolution band image. So they can be used for 
enhancement of the thermal infrared band 6 based on one of 
remaining TM bands. 
The PSF method for data fusion is more sensitive to image co- 
registration accuracy than HIS, PCA and WT techniques. 
Inaccurate co-registration may lead to spectral distort of an 
individual multi-spectral band, because the spectral fidelity is 
preserved under such assumption that each pixel in the low 
resolution image is completely precisely co-registered with a 
group of sub-pixels in the high resolution image. 
(3). PSF method can be used for improving IRMSS image and 
enhancing the spatial details without destroying the fidelity to 
the IRMSS image spectral properties. Preserving Spectral 
Fidelity is very useful for integrating, analysing CCD and 
[RMSS images, and is very significant for developing 
application market of IRMSS data. 
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Acknowledgments 
This study is a part of a research in Centre for Aero Geophysics 
and Remote Sensing, Beijing, China, supported by the Ministry 
of Land and Resources in China. This work has benefited from 
the comments and assistance from Prof. Feng Z. L. and Prof 
Zen Z. M. during the research. 
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