Comparison of traditional and fuzzy unsupervised classification on the basis of vegetation index

Authors

  • István Havasi Department of Geodesy and Mine Surveying, Institute of Geophysics and GIS, University of Miskolc 3515 Miskolc-Egyetemváros
  • Dávid Benő Department of Geodesy and Mine Surveying, Institute of Geophysics and GIS, University of Miskolc 3515 Miskolc-Egyetemváros

DOI:

https://doi.org/10.56617/tl.3777

Keywords:

fuzzy logic, unsupervised classification, NDVI, land management

Abstract

In a concise introductory part of this study the Fuzzy logic is overviewed briefly first then one of its important applications in land management, the classification is outlined. After that we deal with the theoretical membership functions well applicable to the afore- mentioned purpose and procedures taken into account here. Finally we perform a classification in the title using a concrete data set, a Landsat 7 satellite image, and the final results of this research are evaluated.

Author Biographies

  • István Havasi, Department of Geodesy and Mine Surveying, Institute of Geophysics and GIS, University of Miskolc 3515 Miskolc-Egyetemváros

    gbmhi@uni-miskol.hu

  • Dávid Benő, Department of Geodesy and Mine Surveying, Institute of Geophysics and GIS, University of Miskolc 3515 Miskolc-Egyetemváros

    gbmbd@uni-miskolc.hu

References

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Published

2012-07-09

Issue

Section

Articles

How to Cite

Comparison of traditional and fuzzy unsupervised classification on the basis of vegetation index. (2012). JOURNAL OF LANDSCAPE ECOLOGY | TÁJÖKÖLÓGIAI LAPOK , 10(1), 115-123. https://doi.org/10.56617/tl.3777

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