On sand ripple detection in synthetic aperture sonar imagery

David P. Williams, Enrique Coiras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

A model for the detection of sand ripples in synthetic aperture sonar (SAS) imagery is proposed. The approach is based on searching for patterns characterized by three highlight-shadow pairs - corresponding to ripple-wave crests and troughs - at different orientations and at different length-scales. The model also provides an estimate of the orientation of any ripples detected. No training data is required as the underlying physical phenomenon of ripples is modeled directly. The promise of the proposed method is demonstrated on five real, measured SAS images, for which a high probability of (ripple) detection is achieved while maintaining a very low false alarm rate.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1074-1077
Number of pages4
ISBN (Print)9781424442966
DOIs
StatePublished - 2010
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period3/14/103/19/10

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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