The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008
The method need not re-sample the hyperspectral images, keep
the spectral information unchanged, induced the
undetermination of pixel decomposing, showed optimistically
portend. The AMIRS system gives a opportunity to integration
application of hyperspectral information and high special
resolution images.
The actualization of the workflow simple and crude, only
simple algorithms are adopted, the fusion results can be
zchieved but a lot has to be done to improve and test the
method.
5. REFERENCES
Figure 7 result after pure pixel diffusion
Ma Yanhua ,Wang Jianyu,etc, A New Vector Filter Based on
Background Detection for Spectral Image, J . Infrared Millim.
Waves,July 2006
Weiming Xu, Jianyu Wang, Rong Shu,etc, A Airborne
Multidimensional Integrated Remote Sensing
System ,ISPRS,2008, to be published.
Figure 8 result after one step pixel
Decomposing and diffusing
In figure 9 another fusion result is showed.The raw
hyperspectral image is of 130*70 and the high spatial image is
of 670*700. The left image is the raw hyperspectral image
which is zoomed out; The middle one is the hyperspectral
image after PCA fusion; And the right one is the image
processed with the fusion method of this article.
Figure 9 another experiments
The results are spectral images ,with the spectral , it’s easy to
produce classified maps. 4
4. SUMMARY AND CONCLUSIONS
In this article a type of hyperspectral image fusion method is
bring forward, its workflow is introduced and realized » In the
hyperspectral image fusion flow, the edge information and the
radiation correlation between hyperspectral images and high
spatial resolution images is utilized to induce the demand for
registration precision that hard to achieve«, Experiments results
with real remote sensing images are given«
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