Comparison of different algorithms for land use mapping in dry climate using satellite images: a case study of the Central regions of Iran
The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Tehran
2015-01-01
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| Series: | Desert |
| Subjects: | |
| Online Access: | https://jdesert.ut.ac.ir/article_54077_a03ba2904e5acfaea28503c6a535198d.pdf |