An unsupevised package for multi-spectral image processing for remote data
The ability to match digital images and technique combination in the computer world had revolutionalised the trend. This paper researched on the unsupervised classification of the Multi-Spectral Image. All the two classes under the unsupervised classification were presented and explained. That is th...
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| Format: | Article |
| Language: | English |
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Design for Scientific Renaissance
2015
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| Online Access: | http://irep.iium.edu.my/49596/ http://irep.iium.edu.my/49596/ http://irep.iium.edu.my/49596/1/1249-2938-1-PB.pdf |
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iium-49596 |
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eprints |
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iium-495962017-10-16T06:49:55Z http://irep.iium.edu.my/49596/ An unsupevised package for multi-spectral image processing for remote data Zaid, Muhsin A. Zeki, Akram M. T Technology (General) The ability to match digital images and technique combination in the computer world had revolutionalised the trend. This paper researched on the unsupervised classification of the Multi-Spectral Image. All the two classes under the unsupervised classification were presented and explained. That is the K-Means (KM) and Kohonen Neural Network (KNN). A package for Multi-Spectral Images is designed with the ability to read data, apply Principal Component Analysis (PCA) as a feature extraction, then apply False Colour Composite (FCC) as one of the classification techniques in multi-spectral images. The unsupervised classification method is considered throughout in this research. Design for Scientific Renaissance 2015-12 Article PeerReviewed application/pdf en http://irep.iium.edu.my/49596/1/1249-2938-1-PB.pdf Zaid, Muhsin A. and Zeki, Akram M. (2015) An unsupevised package for multi-spectral image processing for remote data. Journal of Advanced Computer Science and Technology Research (JACSTR), 5 (4). pp. 113-122. ISSN 2231-8852 http://www.sign-ific-ance.co.uk/index.php/JACSTR/article/view/1249 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
International Islamic University Malaysia |
| building |
IIUM Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Zaid, Muhsin A. Zeki, Akram M. An unsupevised package for multi-spectral image processing for remote data |
| description |
The ability to match digital images and technique combination in the computer world had revolutionalised the trend. This paper researched on the unsupervised classification of the Multi-Spectral Image. All the two classes under the unsupervised classification were presented and explained. That is the K-Means (KM) and Kohonen Neural Network (KNN). A package for Multi-Spectral Images is designed with the ability to read data, apply Principal Component Analysis (PCA) as a feature extraction, then apply False Colour Composite (FCC) as one of the classification techniques in multi-spectral images. The unsupervised classification method is considered throughout in this research.
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| format |
Article |
| author |
Zaid, Muhsin A. Zeki, Akram M. |
| author_facet |
Zaid, Muhsin A. Zeki, Akram M. |
| author_sort |
Zaid, Muhsin A. |
| title |
An unsupevised package for multi-spectral image processing for remote data |
| title_short |
An unsupevised package for multi-spectral image processing for remote data |
| title_full |
An unsupevised package for multi-spectral image processing for remote data |
| title_fullStr |
An unsupevised package for multi-spectral image processing for remote data |
| title_full_unstemmed |
An unsupevised package for multi-spectral image processing for remote data |
| title_sort |
unsupevised package for multi-spectral image processing for remote data |
| publisher |
Design for Scientific Renaissance |
| publishDate |
2015 |
| url |
http://irep.iium.edu.my/49596/ http://irep.iium.edu.my/49596/ http://irep.iium.edu.my/49596/1/1249-2938-1-PB.pdf |
| first_indexed |
2023-09-18T21:10:06Z |
| last_indexed |
2023-09-18T21:10:06Z |
| _version_ |
1777411195103346688 |