Satellite image classification using proposed singular value decomposition method
In this work, satellite images for Razaza Lake and the surrounding area district in Karbala province are classified for years 1990,1999 and 2014 using two software programming (MATLAB 7.12 and ERDAS imagine 2014). Proposed unsupervised and supervised method of classification using MATLAB software h...
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| Format: | Article |
| Language: | English |
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University of Baghdad
2019-02-01
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| Series: | Iraqi Journal of Physics |
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| Online Access: | https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/243 |
| _version_ | 1797871397996855296 |
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| author | Noor Zubair Kouder |
| author_facet | Noor Zubair Kouder |
| author_sort | Noor Zubair Kouder |
| collection | DOAJ |
| description |
In this work, satellite images for Razaza Lake and the surrounding area
district in Karbala province are classified for years 1990,1999 and
2014 using two software programming (MATLAB 7.12 and ERDAS
imagine 2014). Proposed unsupervised and supervised method of
classification using MATLAB software have been used; these are
mean value and Singular Value Decomposition respectively. While
unsupervised (K-Means) and supervised (Maximum likelihood
Classifier) method are utilized using ERDAS imagine, in order to get
most accurate results and then compare these results of each method
and calculate the changes that taken place in years 1999 and 2014;
comparing with 1990. The results from classification indicated that
water and hills are decreased, while vegetation, wet land and barren
land are increased for years 1999 and 2014; comparable with 1990.
The classification accuracy was done by number of random points
chosen on the study area in the field work and geographical data then
compared with the classification results, the classification accuracy for
the proposed SVD method are 92.5%, 84.5% and 90% for years
1990,1999,2014, respectivety, while the classification accuracies for
unsupervised classification method based mean value are 92%, 87%
and 91% for years 1990,1999,2014 respectivety.
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| first_indexed | 2024-04-10T00:43:18Z |
| format | Article |
| id | doaj.art-cd8a8f85c192499481d93956c89b6e3e |
| institution | Directory Open Access Journal |
| issn | 2070-4003 2664-5548 |
| language | English |
| last_indexed | 2024-04-10T00:43:18Z |
| publishDate | 2019-02-01 |
| publisher | University of Baghdad |
| record_format | Article |
| series | Iraqi Journal of Physics |
| spelling | doaj.art-cd8a8f85c192499481d93956c89b6e3e2023-03-14T05:26:30ZengUniversity of BaghdadIraqi Journal of Physics2070-40032664-55482019-02-01132810.30723/ijp.v13i28.243Satellite image classification using proposed singular value decomposition methodNoor Zubair Kouder In this work, satellite images for Razaza Lake and the surrounding area district in Karbala province are classified for years 1990,1999 and 2014 using two software programming (MATLAB 7.12 and ERDAS imagine 2014). Proposed unsupervised and supervised method of classification using MATLAB software have been used; these are mean value and Singular Value Decomposition respectively. While unsupervised (K-Means) and supervised (Maximum likelihood Classifier) method are utilized using ERDAS imagine, in order to get most accurate results and then compare these results of each method and calculate the changes that taken place in years 1999 and 2014; comparing with 1990. The results from classification indicated that water and hills are decreased, while vegetation, wet land and barren land are increased for years 1999 and 2014; comparable with 1990. The classification accuracy was done by number of random points chosen on the study area in the field work and geographical data then compared with the classification results, the classification accuracy for the proposed SVD method are 92.5%, 84.5% and 90% for years 1990,1999,2014, respectivety, while the classification accuracies for unsupervised classification method based mean value are 92%, 87% and 91% for years 1990,1999,2014 respectivety. https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/243Satellite image, singular value decomposition, classification accuracy. |
| spellingShingle | Noor Zubair Kouder Satellite image classification using proposed singular value decomposition method Iraqi Journal of Physics Satellite image, singular value decomposition, classification accuracy. |
| title | Satellite image classification using proposed singular value decomposition method |
| title_full | Satellite image classification using proposed singular value decomposition method |
| title_fullStr | Satellite image classification using proposed singular value decomposition method |
| title_full_unstemmed | Satellite image classification using proposed singular value decomposition method |
| title_short | Satellite image classification using proposed singular value decomposition method |
| title_sort | satellite image classification using proposed singular value decomposition method |
| topic | Satellite image, singular value decomposition, classification accuracy. |
| url | https://ijp.uobaghdad.edu.iq/index.php/physics/article/view/243 |
| work_keys_str_mv | AT noorzubairkouder satelliteimageclassificationusingproposedsingularvaluedecompositionmethod |