Animal Sonar pp 829-833 | Cite as

An Automatic Target Recognition Algorithm Using Time-Domain Features

  • Douglas W. Martin
  • Whitlow W. L. Au
Part of the NATO ASI Science book series (NSSA, volume 156)


The capabilities of dolphins and humans to discriminate target properties from target echoes was discussed by Au (this volume). Nachtigall (1980) previously presented a similar review of dolphin discrimination capabilities. Predominant cues seem to be time-domain features related to differences in the highlight structure of target echoes. This paper describes a time domain feature extraction and pattern recognition algorithm which uses cues previously identified as salient for humans (Martin and Au, 1982, 1986). Results are also compared with those of a spectral processing model developed by Chestnut et al. (1979, 1981).


Amplitude Ratio Time Separation Pattern Recognition Algorithm Target Echo Pattern Recognition Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Plenum Press, New York 1988

Authors and Affiliations

  • Douglas W. Martin
    • 1
  • Whitlow W. L. Au
    • 1
  1. 1.Naval Ocean Systems CenterKailuaUSA

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