Mosul University
  • Register
  • Login
  • العربیة

AL-Rafidain Journal of Computer Sciences and Mathematics

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 11, Issue 2
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Detection of desert percentage in Al-Hatra Region based on image contents

    Saja Mallaaloo Ghaydaa A.A. Al-Talib

AL-Rafidain Journal of Computer Sciences and Mathematics, 2014, Volume 11, Issue 2, Pages 37-51
10.33899/csmj.2014.163755

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

In this paper we benefiting from Satellite imaging to retrieve information by using its contents, which is the pixels value of the image and by using the information of groups of pixels like texture, color gradation etc….then analyzing these information to extract spatial and temporal information of this images. Content Based Information Retrieval (CBIR) technique was used to retrieve image contents depending on visual objects of it. Support Vector Machine (SVM) technique was put into use by depending on more than one function like polynomial and RBF, then applying every one of them alone with the training image with different blocks size, then using block size and function that give best result from the training phase to be applied on the test images.
The Satellite imaging was classified into two areas; desert and none desert in order to find the desert percentage of each image and comparing increasing of the desert percentages in Al-Hatra Region as a typical desertification area in nenavah governorate on different temporal periods. The language used in building the system is Matlab R2011a.
 
Keywords:
    Content based information retrieval SVM
  • PDF (949 K)
  • XML
(2014). Detection of desert percentage in Al-Hatra Region based on image contents. AL-Rafidain Journal of Computer Sciences and Mathematics, 11(2), 37-51. doi: 10.33899/csmj.2014.163755
Saja Mallaaloo; Ghaydaa A.A. Al-Talib. "Detection of desert percentage in Al-Hatra Region based on image contents". AL-Rafidain Journal of Computer Sciences and Mathematics, 11, 2, 2014, 37-51. doi: 10.33899/csmj.2014.163755
(2014). 'Detection of desert percentage in Al-Hatra Region based on image contents', AL-Rafidain Journal of Computer Sciences and Mathematics, 11(2), pp. 37-51. doi: 10.33899/csmj.2014.163755
Detection of desert percentage in Al-Hatra Region based on image contents. AL-Rafidain Journal of Computer Sciences and Mathematics, 2014; 11(2): 37-51. doi: 10.33899/csmj.2014.163755
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 34
  • PDF Download: 36
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus