<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Over the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant improvements in mapping, imaging and technologies of seafloor exploration. Recently, modern multibeam echosounder systems (MBES) capable of recording backscatter data for the whole water column, not just for the seabed, have become available thus providing data allowing for visualization and analysis of objects other than the seabed such as single fish, fish schools or pollution. Unlike bathymetric sonars, which only capture the seafloor, multibeam systems produce very large amounts of data during surveys. Because of this, storing the data collected during hydrographic or scientific cruises becomes a crucial problem. In this context, the paper proposes a new approach for efficient reduction and storage of MBES records. The results of a sample implementation of the algorithm being tested on several different sets of MBES data are also discussed.</p></abstract>

Over the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant improvements in mapping, imaging and technologies of seafloor exploration. Recently, modern multibeam echosounder systems (MBES) capable of recording backscatter data for the whole water column, not just for the seabed, have become available thus providing data allowing for visualization and analysis of objects other than the seabed such as single fish, fish schools or pollution. Unlike bathymetric sonars, which only capture the seafloor, multibeam systems produce very large amounts of data during surveys. Because of this, storing the data collected during hydrographic or scientific cruises becomes a crucial problem. In this context, the paper proposes a new approach for efficient reduction and storage of MBES records. The results of a sample implementation of the algorithm being tested on several different sets of MBES data are also discussed.

A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage

Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, 80-233 Gdansk, Poland

Polish Maritime Research

Over the past few years considerable advances in sonar technology, spatial positioning capabilities and computer processing power have lead to significant...

A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage

Published Online: Apr 12, 2013

Page range: 77 - 86

DOI: https://doi.org/10.2478/pomr-2013-0009

Keywords
sonar, compression, storage, reduction, efficiency

This content is open access.

A novel method for archiving multibeam sonar data with emphasis on efficient record size reduction and storage

Published Online: Apr 12, 2013

Page range: 77 - 86

DOI: https://doi.org/10.2478/pomr-2013-0009

Keywordssonar, compression, storage, reduction, efficiency

This content is open access.

Keywords
sonar, compression, storage, reduction, efficiency