Automated segmentation of SAS images using the mean-standard deviation plane for the detection of underwater mines

Oceans Conference Record (IEEE)

Volumn 4, Issue , 2003, Pages 2155-2160

  Maussang, Frédéric ^a   Chanussot, Jocelyn ^a   Hétet, Alain ^b  

^a ENSIEG   (France)

^b GESMA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PROCESSING; SPECKLE; SPURIOUS SIGNAL NOISE; SYNTHETIC APERTURE SONAR;

BEAM FORMING; RAYLEIGH LAW; SPECKLE NOISE; UNDERWATER MINES;

IMAGE SEGMENTATION;

EID: 1542505542     PISSN: 01977385     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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2. O. Basset, "L'apport de données multimodalité et/ou multiparamétriques pour la segmentation d'images ultrasonores. Caractérisation par analyse de texture.", HDR Université Claude Bernard - Lyon 1, Lyon, France, July 2001.
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6. J. Chanussot, F. Maussang, and A. Hétet, "Scalar Image Processing Filters for Speckle Reduction on Synthetic Aperture Sonar Images", Proc. of MTS/IEEE Oceans'02, Biloxi, Mississippi, USA, October 2002.
7. B. Ogor, "Etude comparative de methodes de filtrage de speckle et de segmentation en imagerie radar à synthèse d'ouverture", Ph. D. Thesis, INSA Rennes, Rennes, France, 1997.
8. J.S. Lee, "Speckle analysis and smoothing of synthetic aperture radar images", Computer graphics and image processing, no 17, pp. 24 - 31, 1981.
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10. F. Maussang, J. Chanussot, C. Hory, and A. Hétet, "Synthetic Aperture Sonar Imagery: Towards a Classification of Under Water Mines in the Mean - Standard Deviation Plane", Proc. of Physics in Signal and Image Processing (PSIP'03), pp. 137 - 140, Grenoble, France, January 2003.