Journal of the Indian Society of Remote Sensing

, Volume 18, Issue 3, pp 18–24

A comparative study of supervised classifiers on a subscene in Junagadh district, Gujarat

Authors

  • M. P. Oza
    • Space Applications Centre
  • S. A. Sharma
    • Space Applications Centre
Article

DOI: 10.1007/BF03030729

Cite this article as:
Oza, M.P. & Sharma, S.A. J Ind Soc Remote Sens (1990) 18: 18. doi:10.1007/BF03030729

Abstract

This paper describes the results of a comparative study of five classifiers viz., maximum likelihood, modified maximum likelihood, minimum distance to mean. Fisher and min-max, for classifying a subscene of Junagadh district using Landsat Thematic Mapper (TM) data. The kappa coefficient of agreement (k) and per cent correctly classified pixels for training data are used as measures of overall performance. It is observed that maximum likelihood and modified maximum likelihood classifiers perform better than the other three classifiers for this data set. Band combinations (3, 4, S) and (2, 3, 4, S) perform better than the usual combination (1,2,3,4), possibly because of presence of middle infrared band (band 5) on a scene dominated by vegetation cover. The band combination (1, 2, 3, 4, 5, 7) performed the best.

Copyright information

© Springer 1990