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Proceedings Paper

A feature fusion method for feature extraction
Author(s): Dejun Tang; Weishi Zhang; Xiaolu Qu; Dujuan Wang
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Paper Abstract

The automatic target recognition based on image fusion refers to the fusion process using the target images provided by a variety of sensors, so as to improve the recognition accuracy and robustness and to obtain better recognition performance. This paper presents a feature fusion method for global structure information and local structure information of both the feature extraction and target classification recognition, the global structure information is obtained through the scatter matrix, while the local structure information is obtained through constructing the Laplacian matrix of the nearest neighbor graph, in the criterion function, the importance degree of these two information in different applications is regulated by setting a regulatory factor.

Paper Details

Date Published: 2 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340V (2 June 2012); doi: 10.1117/12.946076
Show Author Affiliations
Dejun Tang, Dalian Maritime Univ. (China)
Dalian Neusoft Institute of Information (China)
Weishi Zhang, Dalian Maritime Univ. (China)
Xiaolu Qu, Dalian Engineering Consultation Ctr. (China)
Dujuan Wang, Dalian Neusoft Institute of Information (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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