Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search
Joint Authors
Wang, Mingwei
Wan, Youchuan
Shi, Lei
Gao, Xianjun
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-18
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
In object-based image analysis of high-resolution images, the number of features can reach hundreds, so it is necessary to perform feature reduction prior to classification.
In this paper, a feature selection method based on the combination of a genetic algorithm (GA) and tabu search (TS) is presented.
The proposed GATS method aims to reduce the premature convergence of the GA by the use of TS.
A prematurity index is first defined to judge the convergence situation during the search.
When premature convergence does take place, an improved mutation operator is executed, in which TS is performed on individuals with higher fitness values.
As for the other individuals with lower fitness values, mutation with a higher probability is carried out.
Experiments using the proposed GATS feature selection method and three other methods, a standard GA, the multistart TS method, and ReliefF, were conducted on WorldView-2 and QuickBird images.
The experimental results showed that the proposed method outperforms the other methods in terms of the final classification accuracy.
American Psychological Association (APA)
Shi, Lei& Wan, Youchuan& Gao, Xianjun& Wang, Mingwei. 2018. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
Modern Language Association (MLA)
Shi, Lei…[et al.]. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
American Medical Association (AMA)
Shi, Lei& Wan, Youchuan& Gao, Xianjun& Wang, Mingwei. Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130815
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130815