Accession Number : AD1017003

Title :   Automatic Detection of Sand Ripple Features in Sidescan Sonar Imagery

Descriptive Note : Technical Report

Corporate Author : Defence Research and Development Canada -Atlantic Research Centre Dartmouth, NS Canada

Personal Author(s) : Crawford,Anna ; Skarke,Adam

Full Text :

Report Date : 09 Jul 2014

Pagination or Media Count : 5

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.

Descriptors :   sonar images , sand , ripples , sediments , bifurcation(biology) , algorithms

Distribution Statement : APPROVED FOR PUBLIC RELEASE