Compression of multibeam echosounders bathymetry and water column data

Over the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of the seafloor and water column. Water column imaging MBES surveys acquire signi...

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Autores: Martí, Aniol, Portell de Mora, Jordi, Amblàs Novellas, David, Cabrera Estanyol, Ferran de|||0000-0001-6949-780X, Vila Insa, Marc|||0000-0002-7032-1411, Riba Sagarra, Jaume|||0000-0002-5515-8169, Mitchell, Garrett
Formato: artículo
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/368205
Acesso em linha:https://hdl.handle.net/2117/368205
https://dx.doi.org/10.3390/rs14092063
Access Level:acceso abierto
Palavra-chave:Data compression (Computer science)
Remote sensing
Multibeam mapping
Multibeam echosounders (MBES)
Lossless data compression
Lossy data compression
Water column
Sea imaging
Dades -- Compressió (Informàtica)
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
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network_acronym_str ES
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repository_id_str
dc.title.none.fl_str_mv Compression of multibeam echosounders bathymetry and water column data
title Compression of multibeam echosounders bathymetry and water column data
spellingShingle Compression of multibeam echosounders bathymetry and water column data
Martí, Aniol
Data compression (Computer science)
Remote sensing
Multibeam mapping
Multibeam echosounders (MBES)
Lossless data compression
Lossy data compression
Water column
Sea imaging
Dades -- Compressió (Informàtica)
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
title_short Compression of multibeam echosounders bathymetry and water column data
title_full Compression of multibeam echosounders bathymetry and water column data
title_fullStr Compression of multibeam echosounders bathymetry and water column data
title_full_unstemmed Compression of multibeam echosounders bathymetry and water column data
title_sort Compression of multibeam echosounders bathymetry and water column data
dc.creator.none.fl_str_mv Martí, Aniol
Portell de Mora, Jordi
Amblàs Novellas, David
Cabrera Estanyol, Ferran de|||0000-0001-6949-780X
Vila Insa, Marc|||0000-0002-7032-1411
Riba Sagarra, Jaume|||0000-0002-5515-8169
Mitchell, Garrett
author Martí, Aniol
author_facet Martí, Aniol
Portell de Mora, Jordi
Amblàs Novellas, David
Cabrera Estanyol, Ferran de|||0000-0001-6949-780X
Vila Insa, Marc|||0000-0002-7032-1411
Riba Sagarra, Jaume|||0000-0002-5515-8169
Mitchell, Garrett
author_role author
author2 Portell de Mora, Jordi
Amblàs Novellas, David
Cabrera Estanyol, Ferran de|||0000-0001-6949-780X
Vila Insa, Marc|||0000-0002-7032-1411
Riba Sagarra, Jaume|||0000-0002-5515-8169
Mitchell, Garrett
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Data compression (Computer science)
Remote sensing
Multibeam mapping
Multibeam echosounders (MBES)
Lossless data compression
Lossy data compression
Water column
Sea imaging
Dades -- Compressió (Informàtica)
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
topic Data compression (Computer science)
Remote sensing
Multibeam mapping
Multibeam echosounders (MBES)
Lossless data compression
Lossy data compression
Water column
Sea imaging
Dades -- Compressió (Informàtica)
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
description Over the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of the seafloor and water column. Water column imaging MBES surveys acquire significant amounts of data with rates that can exceed several GB/h depending on the ping rate. These large file sizes obtained from recording the full water column backscatter make remote transmission difficult if not prohibitive with current technology and bandwidth limitations. In this paper, we propose an algorithm to decorrelate water column and bathymetry data, focusing on the KMALL format released by Kongsberg Maritime in 2019. The pre-processing stage is integrated into FAPEC, a data compressor originally designed for space missions. Here, we test the algorithm with three different datasets: two of them provided by Kongsberg Maritime and one dataset from the Gulf of Mexico provided by Fugro USA Marine. We show that FAPEC achieves good compression ratios at high speeds using the pre-processing stage proposed in this paper. We also show the advantages of FAPEC over other lossless compressors as well as the quality of the reconstructed water column image after lossy compression at different levels. Lastly, we test the performance of the pre-processing stage, without the constraint of an entropy encoder, by means of the histograms of the original samples and the prediction errors.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-04-25
2022
2022-06-09
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/368205
https://dx.doi.org/10.3390/rs14092063
url https://hdl.handle.net/2117/368205
https://dx.doi.org/10.3390/rs14092063
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-095076-B-C21 LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS II
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-114322RB-I00 IMPACTOS DE LARGO ALCANCE DE LAS CASCADAS DE AGUA DENSA EN EL OCEANO ATLANTICO NORTE Y EL MAR MEDITERRANEO (FAR-DWO)
European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 658358 Seabed Imprint of Dense Shelf Water Cascading
Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-105717RB-C22 METODOS ROBUSTOS PARA INFERENCIA ESTADISTICA, INTEGRIDAD DE DATOS Y GESTION DE INTERFERENCIA - 2
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Compression of multibeam echosounders bathymetry and water column dataMartí, AniolPortell de Mora, JordiAmblàs Novellas, DavidCabrera Estanyol, Ferran de|||0000-0001-6949-780XVila Insa, Marc|||0000-0002-7032-1411Riba Sagarra, Jaume|||0000-0002-5515-8169Mitchell, GarrettData compression (Computer science)Remote sensingMultibeam mappingMultibeam echosounders (MBES)Lossless data compressionLossy data compressionWater columnSea imagingDades -- Compressió (Informàtica)TeledeteccióÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::TeledeteccióOver the past decade, Multibeam Echosounders (MBES) have become one of the most used techniques in sea exploration. Modern MBES are capable of acquiring both bathymetric information on the seafloor and the reflectivity of the seafloor and water column. Water column imaging MBES surveys acquire significant amounts of data with rates that can exceed several GB/h depending on the ping rate. These large file sizes obtained from recording the full water column backscatter make remote transmission difficult if not prohibitive with current technology and bandwidth limitations. In this paper, we propose an algorithm to decorrelate water column and bathymetry data, focusing on the KMALL format released by Kongsberg Maritime in 2019. The pre-processing stage is integrated into FAPEC, a data compressor originally designed for space missions. Here, we test the algorithm with three different datasets: two of them provided by Kongsberg Maritime and one dataset from the Gulf of Mexico provided by Fugro USA Marine. We show that FAPEC achieves good compression ratios at high speeds using the pre-processing stage proposed in this paper. We also show the advantages of FAPEC over other lossless compressors as well as the quality of the reconstructed water column image after lossy compression at different levels. Lastly, we test the performance of the pre-processing stage, without the constraint of an entropy encoder, by means of the histograms of the original samples and the prediction errors.This work was (partially) funded by the ERDF (a way of making Europe) by the European Union through grant RTI2018-095076-B-C21, the Institute of Cosmos Sciences University of Barcelona (ICCUB, Unidad de Excelencia María de Maeztu) through grant CEX2019-000918-M, the Spanish State Research Agency (PID2020-114322RBI00), the European Union’s Horizon 2020 research and innovation programme (Marie Sklodowska-Curie grant 658358), the Catalan Government Excellence Research Groups Grant to GRC Geociències Marines (ref. 2017 SGR 315), the Spanish Ministry of Science and Innovation project RODIN (PID2019-105717RB-C22/AEI/10.13039/501100011033), and Fellowship FI 2019 by the Secretary for University and Research of the Generalitat de Catalunya and the European Social Fund.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20222022-04-2520222022-06-09journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/368205https://dx.doi.org/10.3390/rs14092063reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 RTI2018-095076-B-C21 LOS DATOS DE GAIA PARA LAS PROXIMAS DECADAS IIAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-114322RB-I00 IMPACTOS DE LARGO ALCANCE DE LAS CASCADAS DE AGUA DENSA EN EL OCEANO ATLANTICO NORTE Y EL MAR MEDITERRANEO (FAR-DWO)European Commission http://doi.org/10.13039/100010661 Horizon 2020 Framework Programme 658358 Seabed Imprint of Dense Shelf Water CascadingAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-105717RB-C22 METODOS ROBUSTOS PARA INFERENCIA ESTADISTICA, INTEGRIDAD DE DATOS Y GESTION DE INTERFERENCIA - 2open accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3682052026-05-27T15:37:01Z
score 15,300724

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