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Target Classification Using Features Based on Fractional Fourier Transform
Jongwon SEOK Keunsung BAE
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2014/09/01
Online ISSN: 1745-1361
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.