Comparison between supervised and unsupervised image classification techniques
Dissertant
Ibrahim, Muhammad Ahmad Braima
Thesis advisor
al-Sinnari, Adil Muhammad Ahmad
Comitee Members
al-Junayd, Ammar Babikir Mahmud
Ahmad, Abd al-Rahim al-jazuli Muhammad
University
Omdurman Islamic University
Faculty
Faculty of Sciences and Technology
Department
Department of Information Systems
University Country
Sudan
Degree
Master
Degree Date
2011
English Abstract
Image classification has been one on the most vivid research areas in the field of computer vision over the last years.
The main objective of this study is to make comparison between supervised and unsupervised classification to evaluate and estimate what method shall be used to properly classify imagery.
The study was conducted at al-Gazira State which is located in the middle of Sudan within the mudflats area until the Upper Nile, most of the surface of state is a plain flat, with no hills, only a few hills in some parts of East and South.
In order to achieve the objective of this study, image enhancement and classification techniques were applied to satellite image of the study area.
Spectral Landsat 5 TM image which acquired on 28th December, 2010 used here as the reference dataset, and pulled to image to georeferencing it.
Six classes to Land-use Land-cover area in the same supervised and unsupervised classification was done in the image.
The study comes to conclusion that supervised classification show some features like water, urban area, etc more clearly and remote sensing is one of strongest new technologies for monitoring and evaluating and exploring earth recourses to make thematic and geomorphologic map which used in GIS in study area to support the decision making.
Main Subjects
Topics
No. of Pages
74
Table of Contents
Table of contents.
Abstract.
Chapter One : Introduction.
Chapter Two : Remote sensing; concept and foundations.
Chapter Three : Digital image processing.
Chapter Four : Methodology.
Chapter Five : Conclusion and recommendations.
References.
American Psychological Association (APA)
Ibrahim, Muhammad Ahmad Braima. (2011). Comparison between supervised and unsupervised image classification techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364393
Modern Language Association (MLA)
Ibrahim, Muhammad Ahmad Braima. Comparison between supervised and unsupervised image classification techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University. (2011).
https://search.emarefa.net/detail/BIM-364393
American Medical Association (AMA)
Ibrahim, Muhammad Ahmad Braima. (2011). Comparison between supervised and unsupervised image classification techniques. (Master's theses Theses and Dissertations Master). Omdurman Islamic University, Sudan
https://search.emarefa.net/detail/BIM-364393
Language
English
Data Type
Arab Theses
Record ID
BIM-364393
