A method for the interpretation of sonar data recorded during autonomous underwater vehicle missions

• Autorzy: Zieja Mariusz , Wawrzyński Wojciech , Tomaszewska Justyna , Sigiel Norbert

Identyfikatory

DOI

10.2478/pomr-2022-0038

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

onar technologies; sea floor monitoring; autonomous underwater systems

• Wydawca: Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
• Czasopismo: Polish Maritime Research
• Rocznik: 2022
• Tom: nr 3
• Strony: 176--186
• Opis fizyczny: Bibliogr. 31 poz., rys., tab.

Twórcy

autor

Zieja Mariusz

• Air Force of Technology Warsaw Poland

• https://orcid.org/0000-0003-1494-4099

autor

Wawrzyński Wojciech

• Warsaw University of Technology Warsaw Poland

• https://orcid.org/0000-0002-2523-8520

autor

Tomaszewska Justyna

• Military University of Aviation Dęblin Poland

• https://orcid.org/0000-0001-6883-7235

autor

Sigiel Norbert

• MCM Squadron Gdansk Poland

• https://orcid.org/0000-0001-6184-1063

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).