Visualizing uncertainty — How fuzzy logic approach can help to explore iron ore deposits? |
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| Authors: | B Poovalinga Ganesh S Rajendran A Thirunavukkarasu K Maharani |
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| Institution: | (1) Centre for Global Metallogeny, School of Earth and Geographical Sciences, University of Western Australia, Nedlands, WA, 6009, Australia |
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| Abstract: | Uncertainties in Geovisualaization / GIScience spatial data can minimize but not completely provided by the different image
processing classification methods. The methods of image processing techniques are purely dependent on spectral signature values.
In the present study, we collected end member spectral values from both satellite data and field signatures and applied in
supervised and fuzzy classification of image processing techniques to discriminate the iron ore formations and associated
land cover features of part of Godumalai hill region of Salem District, Tamil Nadu State, India. The result of analysis shows
that the fuzzy classified image discriminated the iron formation with better appearance and distinct boundary between the
associated features than the analyses results obtained by supervised methods. |
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