Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-29
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents a novel classification method for high-spatial-resolution satellite scene classification introducing Bayesian information criterion (BIC)-based feature filtering process to further eliminate opaque and redundant information between multiple features.
Firstly, two diverse and complementary feature descriptors are extracted to characterize the satellite scene.
Then, sparse canonical correlation analysis (SCCA) with penalty function is employed to fuse the extracted feature descriptors and remove the ambiguities and redundancies between them simultaneously.
After that, a two-phase Bayesian information criterion (BIC)-based feature filtering process is designed to further filter out redundant information.
In the first phase, we gradually impose a constraint via an iterative process to set a constraint on the loadings for averting sparse correlation descending below to a lower confidence limit of the approximated canonical correlation.
In the second phase, Bayesian information criterion (BIC) is utilized to conduct the feature filtering which sets the smallest loading in absolute value to zero in each iteration for all features.
Lastly, a support vector machine with pyramid match kernel is applied to obtain the final result.
Experimental results on high-spatial-resolution satellite scenes demonstrate that the suggested approach achieves satisfactory performance in classification accuracy.
American Psychological Association (APA)
Lin, Da& Xu, Xin& Pu, Fangling. 2015. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
Modern Language Association (MLA)
Lin, Da…[et al.]. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
American Medical Association (AMA)
Lin, Da& Xu, Xin& Pu, Fangling. Bayesian Information Criterion Based Feature Filtering for the Fusion of Multiple Features in High-Spatial-Resolution Satellite Scene Classification. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1070066
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070066