A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral
Joint Authors
Shi, Aiye
Xu, Lizhong
Gao, Hongmin
Li, Chenming
Huang, Fengchen
Ma, Zhenli
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-05
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Hyperspectral remote sensing technology is a rapidly developing new integrated technology that is widely used in numerous areas.
Rich spectral information from hyperspectral images can aid in the classification and recognition of the ground objects.
However, the high dimensions of hyperspectral images cause redundancy in information.
Hence, the high dimensions of hyperspectral data must be reduced.
This paper proposes a hybrid feature selection strategy based on the simulated annealing genetic algorithm (SAGA) and the Choquet fuzzy integral (CFI).
The band selection method is proposed from subspace decomposition, which combines the simulated annealing algorithm with the genetic algorithm in choosing different cross-over and mutation probabilities, as well as mutation individuals.
Then, the selecting bands are further refined by CFI.
Experimental results show that the proposed method can achieve higher classification accuracy than traditional methods.
American Psychological Association (APA)
Gao, Hongmin& Xu, Lizhong& Li, Chenming& Shi, Aiye& Huang, Fengchen& Ma, Zhenli. 2013. A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1031965
Modern Language Association (MLA)
Gao, Hongmin…[et al.]. A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral. Mathematical Problems in Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-1031965
American Medical Association (AMA)
Gao, Hongmin& Xu, Lizhong& Li, Chenming& Shi, Aiye& Huang, Fengchen& Ma, Zhenli. A New Feature Selection Method for Hyperspectral Image Classification Based on Simulated Annealing Genetic Algorithm and Choquet Fuzzy Integral. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-1031965
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1031965