Target Classification Using Features Based on Fractional Fourier Transform

Jongwon SEOK  Keunsung BAE  

IEICE TRANSACTIONS on Information and Systems   Vol.E97-D   No.9   pp.2518-2521
Publication Date: 2014/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8003
Type of Manuscript: LETTER
Category: Pattern Recognition
target,  recognition,  active sonar,  pattern recognition,  LFM,  highlight model,  fractional Fourier transform,  

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This letter describe target classification from the synthesized active sonar returns from targets. A fractional Fourier transform is applied to the sonar returns to extract shape variation in the fractional Fourier domain depending on the highlight points and aspects of the target. With the proposed features, four different targets are classified using two neural network classifiers.