Visualizing uncertainty - how fuzzy logic approach can help to explore iron ore deposits?

B. Poovalinga Ganesh, S. Rajendran, A. Thirunavukkarasu, K. Maharani

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalJournal of the Indian Society of Remote Sensing
Volume37
Issue number1
DOIs
Publication statusPublished - Aug 2009

Keywords

  • Fuzzy logic
  • Iron ore formation mapping
  • LISS IV

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Geography, Planning and Development
  • Earth and Planetary Sciences(all)
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Visualizing uncertainty - how fuzzy logic approach can help to explore iron ore deposits?'. Together they form a unique fingerprint.

  • Cite this