An unsupervised artificial neural network method for satellite image segmentation
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.199-205, 7 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Image segmentation is an essential step in image processing.
The goal of segmentation is to simplify and / or to change the representation of an image into a form easier to analyze.
Many image segmentation methods are available but most of these methods are not suitable for satellite images and they require a priori knowledge.
In order to overcome these obstacles, a new satellite image segmentation method is developed using an unsupervised artificial neural network method called Kohonen's self-organizing map and a threshold technique.
Self-organizing map is used to organize pixels according to grey level values of multiple bands into groups then a threshold technique is used to cluster the image into disjoint regions, this new method is called TSOM.
Experiments performed on two different satellite images confirm the stability, homogeneity, and the efficiency (speed wise) of TSOM method with comparison to the iterative self-organizing data analysis method.
The stability and homogeneity of both methods are determined using a procedure selected from the functional model.
American Psychological Association (APA)
Awwad, Muhammad. 2010. An unsupervised artificial neural network method for satellite image segmentation. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.199-205.
https://search.emarefa.net/detail/BIM-177880
Modern Language Association (MLA)
Awwad, Muhammad. An unsupervised artificial neural network method for satellite image segmentation. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.199-205.
https://search.emarefa.net/detail/BIM-177880
American Medical Association (AMA)
Awwad, Muhammad. An unsupervised artificial neural network method for satellite image segmentation. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.199-205.
https://search.emarefa.net/detail/BIM-177880
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 204-205
Record ID
BIM-177880