A feature fusion method for feature extraction

Dejun Tang; Weishi Zhang; Xiaolu Qu; Dujuan Wang

doi:10.1117/12.946076

2 June 2012 A feature fusion method for feature extraction

Dejun Tang, Weishi Zhang, Xiaolu Qu, Dujuan Wang

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83340V (2012) https://doi.org/10.1117/12.946076
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

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.

Citation Download Citation

Dejun Tang, Weishi Zhang, Xiaolu Qu, and Dujuan Wang "A feature fusion method for feature extraction", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83340V (2 June 2012); https://doi.org/10.1117/12.946076

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