High resolution image classification
Author
Source
Iraqi Journal of Statistical Science
Issue
Vol. 5, Issue 8 (31 Dec. 2005), pp.16-21, 6 p.
Publisher
University of Mosul College of Computer Science and Mathematics
Publication Date
2005-12-31
Country of Publication
Iraq
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Topics
Abstract AR
Classification is an important field with many applications.
In particular, the classification of digital imagery has important applications in the mapping community.
In this paper the comparison of three different classification methods on LANDSAT imagery of Erbil City - IRAQ: neural networks, nearest-neighbor, and discriminant analysis are made.
Out of the three approaches, k-nearest neighbors performed the best; next in accuracy was neural networks, and then discriminant analysis.
American Psychological Association (APA)
Salih, Wasfi Tahir. 2005. High resolution image classification. Iraqi Journal of Statistical Science،Vol. 5, no. 8, pp.16-21.
https://search.emarefa.net/detail/BIM-362076
Modern Language Association (MLA)
Salih, Wasfi Tahir. High resolution image classification. Iraqi Journal of Statistical Science Vol. 5, no. 8 (2005), pp.16-21.
https://search.emarefa.net/detail/BIM-362076
American Medical Association (AMA)
Salih, Wasfi Tahir. High resolution image classification. Iraqi Journal of Statistical Science. 2005. Vol. 5, no. 8, pp.16-21.
https://search.emarefa.net/detail/BIM-362076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 21
Record ID
BIM-362076