Arko Lucieer.
Visualization for Exploration of Uncertainty Related to Fuzzy Classification.
In IEEE International Conference on Geoscience and Remote Sensing Symposium, 2006. IGARSS 2006., pp. 903--906, 2006.


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Abstract:

This study presents a new visualization tool for exploration of the results of a supervised fuzzy classification. 3D isosurfaces are introduced to visualize the shape and extent of class clusters in a 3D feature space plot. These isosurfaces are linked to an image display showing the spatial extent of classes. The dynamical link between feature space, image space, and user interaction with an uncertainty threshold allows for interactive exploration of the spatial and thematic aspects of uncertainty related to a fuzzy classification. The visualization tool is illustrated with a fuzzy classification of a Quickbird image of sub-Antarctic Macquarie Island.

Bibtex:

@InProceedings{  lucieer:2006:VEUF,
  author = 	 {Arko Lucieer},
  title = 	 {Visualization for Exploration of Uncertainty Related
                  to Fuzzy Classification},
  booktitle =    {IEEE International Conference on Geoscience and
                  Remote Sensing Symposium, 2006. IGARSS 2006.},
  pages = 	 {903--906},
  year = 	 {2006},
}

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References:


[1] D. Bergstrom and S. Chown, "Life at the Front: History, Ecology and Change on Southern Ocean Islands," Trends in Ecology and Evolution, vol. 14, pp. 472-477, 1999.
[2] P. F. Fisher, "Sorites paradox and vague geographies," Fuzzy Sets and Systems, vol. 113, pp. 7-18, 2000.
[3] G. M. Foody, "Approaches for the production and evaluation of fuzzy land cover classifications from remotely sensed data," International Journal of Remote Sensing, vol. 17, no. 1, pp. 1317-1340, 1996.
[4] G. M. Foody and P. M. Atkinson, Uncertainty in Remote Sensing and GIS. John Wiley & Sons Ltd., 2002.
[5] L. Bastin, P. F. Fisher, and J. Wood, "Visualizing uncertainty in multispectral remotely sensed imagery," Computers & Geosciences, vol. 28, no. 3, pp. 337-350, 2002.
[6] A. Lucieer and M. J. Kraak, "Interactive and visual fuzzy classification of remotely sensed imagery for exploration of uncertainty," International Journal of Geographical Information Science, vol. 18, no. 5, pp. 491-512, 2004.
[7] --, "Alpha-shapes for visualizing irregular shaped class clusters in 3D feature space for classification of remotely sensed imagery," in Proceedings Visualization and Data Analysis 2004, San Jose, USA, 2004.
[8] W. E. Lorensen and H. E. Cline, "Marching cubes: A high resolution 3D surface construction algorithm," in Proceedings of the 14th annual conference on Computer graphics and interactive techniques. ACM Press, 1987, pp. 163-169. [Online]. Available: http://doi.acm.org/10.1145/37401.37422
[9] S. Rusinkiewicz and M. Levoy, "QSplat: A multiresolution point rendering system for large meshes," in Siggraph 2000, Computer Graphics Proceedings, K. Akeley, Ed. ACM Press / ACM SIGGRAPH / Addison Wesley Longman, 2000, pp. 343-352. [Online]. Available: http://graphics.stanford.edu/software/qsplat/
[10] J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algortihms. New York: Plenum Press, 1981.
[11] J. Zhang and G. M. Foody, "Fully-fuzzy supervised classification of suburban land cover from remotely sensed imagery: Statistical and artificial neural network approaches," International Journal of Remote Sensing, vol. 22, no. 4, pp. 615-628, 2001.
[12] U. Ryan, "Macquarie Island Vegetation and Drainage Structure Data Set, Australian Antarctic Data Centre - SnoWhite Metadata (http://www.aad.gov.au/default.asp?casid=3802)," 1999.
[13] A. Lucieer, "Parbat a tool for remote sensing image processing and visualization," http://www.parbat.net, 2006, last accessed: 21 April 2006.