<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Image acquisition from autonomous underwater vehicles (AUVs) is useful for mapping objects on the seabed. However, there are few studies on the interpretation of data collected with side-scan sonar during autonomous underwater vehicle missions. By recording the seabed with 3D multibeam sonar, a large number of survey points can be obtained. The collected data are processed using applications based on remote sensing image processing. The data collected during AUV missions (or other sonar carriers) needs to be pre-processed to reach the proper effectiveness level. This process includes corrections of signal amplification (Time Varying Gain, or TVG) and geometric distortions of sonar images (Slant Range Corrections). It should be mentioned that, when carrying out the interpretation process for structures on the sea floor, sonar users need to understand the process of visualising seabed projections and depressions, as well as the resolution limitations of the sonar sensors.</p>
</abstract>

Image acquisition from autonomous underwater vehicles (AUVs) is useful for mapping objects on the seabed. However, there are few studies on the interpretation of data collected with side-scan sonar during autonomous underwater vehicle missions. By recording the seabed with 3D multibeam sonar, a large number of survey points can be obtained. The collected data are processed using applications based on remote sensing image processing. The data collected during AUV missions (or other sonar carriers) needs to be pre-processed to reach the proper effectiveness level. This process includes corrections of signal amplification (Time Varying Gain, or TVG) and geometric distortions of sonar images (Slant Range Corrections). It should be mentioned that, when carrying out the interpretation process for structures on the sea floor, sonar users need to understand the process of visualising seabed projections and depressions, as well as the resolution limitations of the sonar sensors.

A Method for the Interpretation of Sonar Data Recorded during Autonomous Underwater Vehicle Missions

Polish Maritime Research

This work is licensed under the Creative Commons Attribution 4.0 International License.

Image acquisition from autonomous underwater vehicles (AUVs) is useful for mapping objects on the seabed. However, there are few studies on the interpretation...

A Method for the Interpretation of Sonar Data Recorded during Autonomous Underwater Vehicle Missions

Published Online: Oct 29, 2022

Page range: 176 - 186

DOI: https://doi.org/10.2478/pomr-2022-0038

Keywords
onar technologies, sea floor monitoring, autonomous underwater systems

© 2022 Mariusz Zieja et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

A Method for the Interpretation of Sonar Data Recorded during Autonomous Underwater Vehicle Missions

Published Online: Oct 29, 2022

Page range: 176 - 186

DOI: https://doi.org/10.2478/pomr-2022-0038

Keywordsonar technologies, sea floor monitoring, autonomous underwater systems

© 2022 Mariusz Zieja et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
onar technologies, sea floor monitoring, autonomous underwater systems