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...

Full description

Bibliographic Details

Published in:	Sensors
Main Authors:	Yeongjun Lee, Jinwoo Choi, Nak Yong Ko, Hyun-Taek Choi
Format:	Article
Language:	English
Published:	MDPI AG 2017-08-01
Subjects:	underwater object recognition framework artificial landmark imaging sonar robot intelligence
Online Access:	https://www.mdpi.com/1424-8220/17/9/1953