Automatic detection of sand ripple features in sidescan sonar imagery

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Authors
  1. Crawford, A.
  2. Skarke, A.
Corporate Authors
Defence Research and Development Canada, Atlantic Research Centre, Halifax NS (CAN);Mississippi Univ, University MS (US)
Abstract
A novel fingerprint analysis technique for automatic determination of seabed ripple features has been investigated. A method is required for automatically extracting from sidescan sonar seabed imagery the orientation and wavelength of ripples and also defect density. Defects in the ripple field are terminations or bifurcations of ripple crests. A rippled background increases the difficulty of finding objects in seabed imagery and the density of defects may prove to be useful as an objective parameter for quantifying this difficulty.
Keywords
automated detection;seabed imagery
Report Number
DRDC-RDDC-2014-N5 — External Literature
Date of publication
09 Jul 2014
Number of Pages
5
DSTKIM No
CA039067
CANDIS No
800131
Format(s):
Electronic Document(PDF)

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