@inproceedings{6b9b0f833f4147349e6e34a3aaa5067e,
title = "An efficient non-uniformity correction technique for side-scan sonar imagery",
abstract = "Mapping the seabed represents a fundamental task for many applications. A key technology for that goal is Side-Scan Sonar (SSS) imaging, which offers a large operating range and high resolutions. However, SSS often suffers from echo decay due to water absorption, producing undesired intensity non-uniformities in the image. We propose here a new inhomogeneity correction technique for SSS imagery that exploits two-dimensional information to estimate and remove this non-uniformity. Our approach achieves results similar or better than other recent techniques, and it enjoys a great computational efficiency, being a good candidate for a real-time implementation.",
keywords = "Autonomous Underwater Vehicle, Echo Decay, Intensity Inhomegeneity Correction, Seabed Mapping, Side Scan Sonar Normalization",
author = "Adrian Galdran and Alberto Isasi and Mohammed Al-Rawi and Jonathan Rodriguez and Joaquim Bastos and Fredrik Elmgren and Marc Pinto",
note = "Funding Information: ACKNOWLEDGMENT This work is supported by SWARMs EU project (Smart & Networking Underwater Robots in Cooperation Meshes), Grant Agreement n. 662107-SWARMs-ECSEL-2014-1, which is partially supported by the ECSEL JU and the Fundao para a Ci{\l}ncia e a Tecnologia (ECSEL/0002/2014 and EC-SEL/0003/2014). Publisher Copyright: {\textcopyright} 2017 IEEE.; OCEANS 2017 - Aberdeen ; Conference date: 19-06-2017 Through 22-06-2017",
year = "2017",
month = oct,
day = "25",
doi = "10.1109/OCEANSE.2017.8084577",
language = "English",
series = "OCEANS 2017 - Aberdeen",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "OCEANS 2017 - Aberdeen",
address = "United States",
}