Techniques iIn Image Classification; A Survey

Authors

  • Mr. S.V.S.Prasad

  • Dr. T. Satya savithri

  • Dr. Iyyanki V. Murali Krishna

Keywords:

image classification, remote sensed data ( rs), training samples (ts), isodata

Abstract

This paper reviews on the current trends, problems and prospects of image classification including the factors affecting it. By the end of the session we will be summarizing the popular advanced classification approaches and methods that are used to improve classification accuracy. The main motive of this review is to suggest a suitable image processing procedure in order to have a successful classification of remotely sensed data into a thematic map.

How to Cite

Mr. S.V.S.Prasad, Dr. T. Satya savithri, & Dr. Iyyanki V. Murali Krishna. (2015). Techniques iIn Image Classification; A Survey. Global Journals of Research in Engineering, 15(F6), 17–32. Retrieved from https://engineeringresearch.org/index.php/GJRE/article/view/1307

Techniques iIn Image Classification; A Survey

Published

2015-03-15