False-alarm reduction in mine classification using multiple looks from a synthetic aperture sonar

J. Groen, E. Coiras, D. P. Williams

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

8 Scopus citations


An algorithm is proposed for performing underwater mine classification when provided with multiple synthetic aperture sonar (SAS) views of each object. The proposed method consists of three main steps. First, the multiple images of a given object are registered to a common reference frame. Second, the registered images are fused to form a single image, thereby allowing all of the information contained in the multiple images to be exploited simultaneously. Third, the fused image is compared to a library of image-templates of targets of interest. The approach is demonstrated on one data set of simulated SAS images and on one data set of real, measured SAS images collected at sea. As the number of views of an object increases, classification performance improves and the dependence on the orientation of the object lessens.

Original languageEnglish (US)
Title of host publicationOCEANS'10 IEEE Sydney, OCEANSSYD 2010
StatePublished - 2010
EventOCEANS'10 IEEE Sydney, OCEANSSYD 2010 - Sydney, NSW, Australia
Duration: May 24 2010May 27 2010

Publication series



OtherOCEANS'10 IEEE Sydney, OCEANSSYD 2010
CitySydney, NSW

All Science Journal Classification (ASJC) codes

  • Ocean Engineering


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