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Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms
Joint Authors
Wu, Jiaji
Paul, Anand
Gong, Maoguo
Shi, Jiao
Jiao, Licheng
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
This paper presents an unsupervised change detection approach for synthetic aperture radar images based on a fuzzy active contour model and a genetic algorithm.
The aim is to partition the difference image which is generated from multitemporal satellite images into changed and unchanged regions.
Fuzzy technique is an appropriate approach to analyze the difference image where regions are not always statistically homogeneous.
Since interval type-2 fuzzy sets are well-suited for modeling various uncertainties in comparison to traditional fuzzy sets, they are combined with active contour methodology for properly modeling uncertainties in the difference image.
The interval type-2 fuzzy active contour model is designed to provide preliminary analysis of the difference image by generating intermediate change detection masks.
Each intermediate change detection mask has a cost value.
A genetic algorithm is employed to find the final change detection mask with the minimum cost value by evolving the realization of intermediate change detection masks.
Experimental results on real synthetic aperture radar images demonstrate that change detection results obtained by the improved fuzzy active contour model exhibits less error than previous approaches.
American Psychological Association (APA)
Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. 2014. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-504968
Modern Language Association (MLA)
Shi, Jiao…[et al.]. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms. Mathematical Problems in Engineering No. 2014 (2014), pp.1-15.
https://search.emarefa.net/detail/BIM-504968
American Medical Association (AMA)
Shi, Jiao& Wu, Jiaji& Paul, Anand& Jiao, Licheng& Gong, Maoguo. Change Detection in Synthetic Aperture Radar Images Based on Fuzzy Active Contour Models and Genetic Algorithms. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-15.
https://search.emarefa.net/detail/BIM-504968
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504968