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Evaluation of Registration Methods on Two-Dimensional Forward-Looking Sonar Imagery

Two-dimensional forward-looking sonars such as Blueview or DIDSON are becoming a standard sensor in both remotely-operated and autonomous underwater vehicles. Registration of imagery obtained from this sensors is of great interest since it constitutes a key step in several applications like the generation of acoustic mosaics or the extraction of vehicle motion estimates from sonar imagery, specially on poor visibility conditions. However, the characteristics of these sonar images, such as low signal-to-noise ratio, low resolution and intensity alterations due to viewpoint changes pose a challenge to the traditional registration techniques applied on optical images. In this paper, the performance of popular registration methods commonly used in photomosaicing are evaluated on real sonar data, including feature-based methods and an areabased approach. Experiments are carried out on different environments, from man-made structured scenarios to more natural and featureless areas, and under challenging conditions such as viewpoint changes and the presence of different sonarspecific artifacts. After assessing the impact of all these factors on the different registration techniques, we show that Fourierbased registration method stands as the more robust option to register acoustic imagery

This work has been supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the Spanish Project ANDREA/RAIMON (Ref CTM2011-29691-C02-02) funded by the Ministry of Science and Innovation

© Proceedings MTS/IEEE OCEANS: Bergen, Noruega, 10-14 June 2013, 2013, 8 p.

Institute of Electrical and Electronics Engineers (IEEE)

Author: Hurtós Vilarnau, Natàlia
Nagappa, Sharad
Cufí i Solé, Xavier
Petillot, Yvan R.
Salvi, Joaquim
Date: 2013
Abstract: Two-dimensional forward-looking sonars such as Blueview or DIDSON are becoming a standard sensor in both remotely-operated and autonomous underwater vehicles. Registration of imagery obtained from this sensors is of great interest since it constitutes a key step in several applications like the generation of acoustic mosaics or the extraction of vehicle motion estimates from sonar imagery, specially on poor visibility conditions. However, the characteristics of these sonar images, such as low signal-to-noise ratio, low resolution and intensity alterations due to viewpoint changes pose a challenge to the traditional registration techniques applied on optical images. In this paper, the performance of popular registration methods commonly used in photomosaicing are evaluated on real sonar data, including feature-based methods and an areabased approach. Experiments are carried out on different environments, from man-made structured scenarios to more natural and featureless areas, and under challenging conditions such as viewpoint changes and the presence of different sonarspecific artifacts. After assessing the impact of all these factors on the different registration techniques, we show that Fourierbased registration method stands as the more robust option to register acoustic imagery
This work has been supported by the FP7-ICT-2011-7 project PANDORA-Persistent Autonomy through Learning, Adaptation, Observation and Re-planning (Ref 288273) funded by the European Commission and the Spanish Project ANDREA/RAIMON (Ref CTM2011-29691-C02-02) funded by the Ministry of Science and Innovation
Format: application/pdf
ISBN: 978-1-4799-0000-8
Document access: http://hdl.handle.net/10256/11632
Language: eng
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Collection: MICINN/PN 2012-2014/CTM2011-29691-C02-02
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/OCEANS-Bergen.2013.6608124
Articles publicats (D-ATC)
info:eu-repo/grantAgreement/EC/FP7/288273
Is part of: © Proceedings MTS/IEEE OCEANS: Bergen, Noruega, 10-14 June 2013, 2013, 8 p.
Rights: Tots els drets reservats
Subject: Imatges -- Processament
Image processing
Vehicles submergibles
Submersibles
Title: Evaluation of Registration Methods on Two-Dimensional Forward-Looking Sonar Imagery
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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