Probability-Based Recognition Framework for Underwater Landmarks Using Sonar Images †

This paper proposes a probability-based framework for recognizing underwater landmarks using sonar images. Current recognition methods use a single image, which does not provide reliable results because of weaknesses of the sonar image such as unstable acoustic source, many speckle noises, low resol...

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Detalles Bibliográficos
Autores principales: Lee, Yeongjun, Choi, Jinwoo, Ko, Nak Yong, Choi, Hyun-Taek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621034/
https://www.ncbi.nlm.nih.gov/pubmed/28837068
http://dx.doi.org/10.3390/s17091953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621034/
https://www.ncbi.nlm.nih.gov/pubmed/28837068
http://dx.doi.org/10.3390/s17091953

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