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

K.C. Yao; M. Mignotte; Christophe Collet; P. Galerne; Gilles Burel

doi:10.1016/S0031-3203(99)00135-1

Journal articles

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

K.C. Yao ¹ M. Mignotte ¹ Christophe Collet ¹ P. Galerne ¹ Gilles Burel ²

1 Ecole Navale

2 LEST - Laboratoire d'Electronique et Systèmes de Télécommunications

Document type :

Journal articles

Domain :

Engineering Sciences [physics] / Signal and Image processing

Complete list of metadata

https://hal.univ-brest.fr/hal-03222610
Contributor : Gilles Burel Connect in order to contact the contributor
Submitted on : Monday, May 10, 2021 - 1:21:36 PM
Last modification on : Monday, October 11, 2021 - 2:22:09 PM

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

Links full text

Identifiers

Collections

Citation

Export

Metrics

30

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

Links full text

Identifiers

Collections

Citation

Export

Share

Metrics

30