Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B7-3)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7. Beijing 2008 
Figure 5..Result using algorithm in (Comaniciu 
and Meer, 2002) with default 
parameter. 
5. CONCLUSION 
A segmentation algorithm based on spatial and spectral 
information fusion is proposed in this paper. The algorithm 
leads to an improvement in segmentation of land cover classes 
having similar spectral surface. 
ACKNOWLEDGEMENTS 
This work was supported by the 973 program and 863 program 
of People’s Republic of China under Grant 2006CB701303 and 
2006AA12Z132, the Foundation of the excellent State Key 
Laboratory under Grant 40523005, and the National Nature 
Science Foundation of China under Grant 40601055,the 
foundation of post-doctor of China under Grant 20060390825. 
Figure 6. The result of our method 
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Figure 6 is segmentation result using our method» Figure 5 is 
the result from EDSION softer ware implementing the 
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