Satellite image classification using proposed singular value decomposition method
Other Title(s)
تصنيف صورة الأقمار الصناعية باستخدام الطريقة المقترحة تفكك القيمة المفردة
Joint Authors
Khidr, Nur Zubayr
al-Abbudi, Bushra Qasim
al-Tai, Muhammad Sahib Mahdi
Source
Issue
Vol. 13, Issue 28 (31 Dec. 2015), pp.52-67, 16 p.
Publisher
University of Baghdad College of Science
Publication Date
2015-12-31
Country of Publication
Iraq
No. of Pages
16
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
al-Abbudi, Bushra Qasim& al-Tai, Muhammad Sahib Mahdi& Khidr, Nur Zubayr. 2015. Satellite image classification using proposed singular value decomposition method. Iraqi Journal of Physics،Vol. 13, no. 28, pp.52-67.
https://search.emarefa.net/detail/BIM-732295
Modern Language Association (MLA)
al-Abbudi, Bushra Qasim…[et al.]. Satellite image classification using proposed singular value decomposition method. Iraqi Journal of Physics Vol. 13, no. 28 (2015), pp.52-67.
https://search.emarefa.net/detail/BIM-732295
American Medical Association (AMA)
al-Abbudi, Bushra Qasim& al-Tai, Muhammad Sahib Mahdi& Khidr, Nur Zubayr. Satellite image classification using proposed singular value decomposition method. Iraqi Journal of Physics. 2015. Vol. 13, no. 28, pp.52-67.
https://search.emarefa.net/detail/BIM-732295
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 67
Record ID
BIM-732295