Journal of Geography and Regional Planning
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Article Number - 5B0C0A51198


Vol.2(4), pp. 086-096 , April 2009

ISSN: 2070-1845



Full Length Research Paper

Comparison of object-based and pixel based infrared airborne image classification methods using DEM thematic layer


Dehvari A.1* and Heck R. J.2




 

1University of Guelph, N1G2W1, Guelph, Canada.

2University of Guelph, N1G4S7, Guelph, Canada.


Email: adehvari@uoguelph.ca






 Accepted: 03 March 2007  Published: 30 April 2007

Copyright © 2007 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0


 

An airborne infrared image was used to produce a map of land cover types in the Eastern shore of Lake Huron, Ontario province of Canada. Maximum likelihood pixel-based and nearest neighbor object-based methods were used in this approach. Land cover classes that obtained traditional pixel-based classification approaches showed a salt-and-pepper effect having the lowest producer accuracy (59.5%). Overall classification results increased up to 80% in object- based approach but still failed to distinguish buildings and creeks. Contours and DEM thematic layers enhanced classification results to a higher level (94%) and increased the producer accuracy for buildings and creek by creating reasonable objects in segmentation process in the object-based approach.

 

Key words: Infrared image classification, pixel-based, object-based, DEM thematic layer, land cover mapping.


APA (2009). Comparison of object-based and pixel based infrared airborne image classification methods using DEM thematic layer. Journal of Geography and Regional Planning, 2(4), 086-096.
Chicago Dehvari A. and Heck R. J.. "Comparison of object-based and pixel based infrared airborne image classification methods using DEM thematic layer." Journal of Geography and Regional Planning 2, no. 4 (2009): 086-096.
MLA Dehvari A. and Heck R. J.. "Comparison of object-based and pixel based infrared airborne image classification methods using DEM thematic layer." Journal of Geography and Regional Planning 2.4 (2009): 086-096.
   
DOI
URL http://academicjournals.org/journal/JGRP/article-abstract/5B0C0A51198

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