Communication Dans Un Congrès Année : 2003

Automated Segmentation of SAS Images using the Mean - Standard Deviation Representation

Résumé

A segmentation method of synthetic aperture sonar (SAS) images is presented, in order to highlight some characteristics (number, position, shape, ...) of underwater mines echoes. This segmentation method is based on statistical characteristics of the sonar images, highlighted by the mean – standard deviation plane. It is automated by using an entropy criterion.

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Dates et versions

hal-00086795 , version 1 (19-07-2006)

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  • HAL Id : hal-00086795 , version 1

Citer

Frederic Maussang, Jocelyn Chanussot, Alain Hétet. Automated Segmentation of SAS Images using the Mean - Standard Deviation Representation. MTS/IEEE Oceans'03 conference, 2003, San Diego, United States. pp.2155 - 2160. ⟨hal-00086795⟩

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