High-Performance Compression of Multibeam Echosounders Water Column Data

Over the last few decades, multibeam echosounders (MBES) have become the dominant technique to efficiently and accurately map the seafloor. They now allow to collect water column acoustic images along with the bathymetry, which is providing a wealth of new possibilities in oceans exploration. Howeve...

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Detalles Bibliográficos
Autores: Portell i de Mora, Jordi, Amblàs i Novellas, David, Mitchell, Garrett, Morales, Matias, Villafranca, Alberto G., Iudica, Ricardo, Lastras Membrive, Galderic
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2019
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/163501
Acceso en línea:https://hdl.handle.net/2445/163501
Access Level:acceso abierto
Palabra clave:Fons marins
Geologia submarina
Ocean bottom
Submarine geology
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spelling High-Performance Compression of Multibeam Echosounders Water Column DataPortell i de Mora, JordiAmblàs i Novellas, DavidMitchell, GarrettMorales, MatiasVillafranca, Alberto G.Iudica, RicardoLastras Membrive, GaldericFons marinsGeologia submarinaOcean bottomSubmarine geologyOver the last few decades, multibeam echosounders (MBES) have become the dominant technique to efficiently and accurately map the seafloor. They now allow to collect water column acoustic images along with the bathymetry, which is providing a wealth of new possibilities in oceans exploration. However, water column imagery generates vast amounts of data that poses obvious logistic, economic, and technical challenges. Surprisingly, very few studies have addressed this problem by providing efficient lossless or lossy data compression solutions. Currently, the available options are only lossless, providing low compression ratios at low speeds. In this paper, we adapt a data compression algorithm, the Fully Adaptive Prediction Error Coder (FAPEC), which was created to offer outstanding performance under the strong requirements of space data transmission. We have added to this entropy coder a specific pre-processing stage tailored to theKongsbergMaritime water column file formats. Here, we test it on data acquired with Kongsberg MBES models EM302, EM710, andEM2040.With this bespoke pre-processing, FAPEC provides good lossless compression ratios at high speeds, whereas lossy ratios reach water column file sizes even smaller than bathymetry raw files still with good image quality. We show the advantages over other lossless compression solutions, both in terms of compression ratios and speed.We illustrate the quality of water column images after lossy FAPEC compression, as well as its resilience to datagram errors and its potential for automatic detection of water column targets. We also show the successful integration in ARM microprocessors (like those used by smartphones and also by autonomous underwater vehicles), which provides a real-time solution for MBES water column data compression.Institute of Electrical and Electronics Engineers (IEEE)2020202020192020info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersion18 p.application/pdfhttps://hdl.handle.net/2445/163501Articles publicats en revistes (Dinàmica de la Terra i l'Oceà)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésVersió postprint del document publicat a: https://doi.org/10.1109/JSTARS.2019.2915844IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, vol. 12, num. 6, p. 1771-1783https://doi.org/10.1109/JSTARS.2019.2915844info:eu-repo/grantAgreement/EC/H2020/658358(c) Institute of Electrical and Electronics Engineers (IEEE), 2019info:eu-repo/semantics/openAccessoai:recercat.cat:2445/1635012026-05-29T05:05:01Z
dc.title.none.fl_str_mv High-Performance Compression of Multibeam Echosounders Water Column Data
title High-Performance Compression of Multibeam Echosounders Water Column Data
spellingShingle High-Performance Compression of Multibeam Echosounders Water Column Data
Portell i de Mora, Jordi
Fons marins
Geologia submarina
Ocean bottom
Submarine geology
title_short High-Performance Compression of Multibeam Echosounders Water Column Data
title_full High-Performance Compression of Multibeam Echosounders Water Column Data
title_fullStr High-Performance Compression of Multibeam Echosounders Water Column Data
title_full_unstemmed High-Performance Compression of Multibeam Echosounders Water Column Data
title_sort High-Performance Compression of Multibeam Echosounders Water Column Data
dc.creator.none.fl_str_mv Portell i de Mora, Jordi
Amblàs i Novellas, David
Mitchell, Garrett
Morales, Matias
Villafranca, Alberto G.
Iudica, Ricardo
Lastras Membrive, Galderic
author Portell i de Mora, Jordi
author_facet Portell i de Mora, Jordi
Amblàs i Novellas, David
Mitchell, Garrett
Morales, Matias
Villafranca, Alberto G.
Iudica, Ricardo
Lastras Membrive, Galderic
author_role author
author2 Amblàs i Novellas, David
Mitchell, Garrett
Morales, Matias
Villafranca, Alberto G.
Iudica, Ricardo
Lastras Membrive, Galderic
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Fons marins
Geologia submarina
Ocean bottom
Submarine geology
topic Fons marins
Geologia submarina
Ocean bottom
Submarine geology
description Over the last few decades, multibeam echosounders (MBES) have become the dominant technique to efficiently and accurately map the seafloor. They now allow to collect water column acoustic images along with the bathymetry, which is providing a wealth of new possibilities in oceans exploration. However, water column imagery generates vast amounts of data that poses obvious logistic, economic, and technical challenges. Surprisingly, very few studies have addressed this problem by providing efficient lossless or lossy data compression solutions. Currently, the available options are only lossless, providing low compression ratios at low speeds. In this paper, we adapt a data compression algorithm, the Fully Adaptive Prediction Error Coder (FAPEC), which was created to offer outstanding performance under the strong requirements of space data transmission. We have added to this entropy coder a specific pre-processing stage tailored to theKongsbergMaritime water column file formats. Here, we test it on data acquired with Kongsberg MBES models EM302, EM710, andEM2040.With this bespoke pre-processing, FAPEC provides good lossless compression ratios at high speeds, whereas lossy ratios reach water column file sizes even smaller than bathymetry raw files still with good image quality. We show the advantages over other lossless compression solutions, both in terms of compression ratios and speed.We illustrate the quality of water column images after lossy FAPEC compression, as well as its resilience to datagram errors and its potential for automatic detection of water column targets. We also show the successful integration in ARM microprocessors (like those used by smartphones and also by autonomous underwater vehicles), which provides a real-time solution for MBES water column data compression.
publishDate 2019
dc.date.none.fl_str_mv 2019
2020
2020
2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/163501
url https://hdl.handle.net/2445/163501
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1109/JSTARS.2019.2915844
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, vol. 12, num. 6, p. 1771-1783
https://doi.org/10.1109/JSTARS.2019.2915844
info:eu-repo/grantAgreement/EC/H2020/658358
dc.rights.none.fl_str_mv (c) Institute of Electrical and Electronics Engineers (IEEE), 2019
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) Institute of Electrical and Electronics Engineers (IEEE), 2019
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18 p.
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv Articles publicats en revistes (Dinàmica de la Terra i l'Oceà)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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