Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery

Pattern Recognition

Volumn 33, Issue 9, 2000, Pages 1575-1584

  Yao, K C ^a   Mignotte, M ^a   Collet, C ^a   Galerne, P ^a   Burel, G ^b  

^a Ecole Navale BP 600 29 240   (France)

^b UNIVERSITÉ DE BRETAGNE OCCIDENTALE   (France)

Author keywords

Kohonen self organizing map; Markov random field; Parameter estimation; Segmentation; Sonar imagery

Indexed keywords

ACOUSTIC WAVE REFLECTION; LEARNING ALGORITHMS; MARKOV PROCESSES; MAXIMUM LIKELIHOOD ESTIMATION; NEURAL NETWORKS; PARAMETER ESTIMATION; REVERBERATION; SONAR;

KOHONEN SELF ORGANIZING MAP; MARKOV RANDOM FIELD; SONAR IMAGERY;

IMAGE SEGMENTATION;

MAP; SEGMENTATION; SELF ORGANIZATION; SONAR IMAGERY; UNSUPERVISED CLASSIFICATION;

EID: 0034118516     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00135-1     Document Type: Article

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