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...
| Main Author: | |
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| Format: | Article |
| Language: | Arabic |
| Published: |
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 |
| _version_ | 1818203808370524160 |
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| author | Wasfi Taher Saalih |
| author_facet | Wasfi Taher Saalih |
| author_sort | Wasfi Taher Saalih |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-12T03:31:14Z |
| format | Article |
| id | doaj.art-648c3b642a424b7a9528e9ffe180730f |
| institution | Directory Open Access Journal |
| issn | 1680-855X 2664-2956 |
| language | Arabic |
| last_indexed | 2024-12-12T03:31:14Z |
| publishDate | 2005-12-01 |
| publisher | College of Computer Science and Mathematics, University of Mosul |
| record_format | Article |
| series | المجلة العراقية للعلوم الاحصائية |
| spelling | doaj.art-648c3b642a424b7a9528e9ffe180730f2022-12-22T00:39:54ZaraCollege of Computer Science and Mathematics, University of Mosulالمجلة العراقية للعلوم الاحصائية1680-855X2664-29562005-12-0151152110.33899/stats.2005.3285732857HIGH RESOLUTION IMAGE CLASSIFICATIONWasfi Taher SaalihClassification 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.https://stats.mosuljournals.com/article_32857_147bcfda06da0da7217f97de53df2bd9.pdf |
| spellingShingle | Wasfi Taher Saalih HIGH RESOLUTION IMAGE CLASSIFICATION المجلة العراقية للعلوم الاحصائية |
| title | HIGH RESOLUTION IMAGE CLASSIFICATION |
| title_full | HIGH RESOLUTION IMAGE CLASSIFICATION |
| title_fullStr | HIGH RESOLUTION IMAGE CLASSIFICATION |
| title_full_unstemmed | HIGH RESOLUTION IMAGE CLASSIFICATION |
| title_short | HIGH RESOLUTION IMAGE CLASSIFICATION |
| title_sort | high resolution image classification |
| url | https://stats.mosuljournals.com/article_32857_147bcfda06da0da7217f97de53df2bd9.pdf |
| work_keys_str_mv | AT wasfitahersaalih highresolutionimageclassification |