ISSN 2736-1586
African Journal of Geography and Regional Planning ISSN 3627-8945 Vol. 6 (2), pp. 001-011, February, 2019. © International Scholars Journals
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.
Accepted 06 January, 2019
Abstract
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.