HIGH RESOLUTION IMAGE CLASSIFICATION
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, near...
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| Format: | Article |
| Language: | Arabic |
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College of Computer Science and Mathematics, University of Mosul
2005-12-01
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| Series: | المجلة العراقية للعلوم الاحصائية |
| Online Access: | https://stats.mosuljournals.com/article_32857_147bcfda06da0da7217f97de53df2bd9.pdf |
| Summary: | 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. |
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| ISSN: | 1680-855X 2664-2956 |