Ship target recognition using kernel Fisher discriminant

Ying Li; Bendu Bai; Licheng Jiao

doi:10.1117/12.441633

24 September 2001 Ship target recognition using kernel Fisher discriminant

Ying Li, Bendu Bai, Licheng Jiao

Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001) https://doi.org/10.1117/12.441633
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

The classification of ship targets using the kernel Fisher discriminant analysis is investigated in this paper. The main idea of this method is to find a nonlinear direction by first mapping the data nonlinearly into some feature space and compute Fisher's linear discriminant in input space. Based on the kernel Fisher discriminant, we recognize three types of ships. The satisfactory experimental results are obtained. In addition, we compare this method with other state of the art classification techniques. The experiments show that the kernel Fisher discriminant is superior to the other algorithms.

Citation Download Citation

Ying Li, Bendu Bai, and Licheng Jiao "Ship target recognition using kernel Fisher discriminant", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); https://doi.org/10.1117/12.441633

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