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Investigation of Sonar Stabilisation Method for Improved Seafloor Image Quality

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Geoinformatics for Intelligent Transportation

Abstract

Constant monitoring of sea floor in harbours is an essential part of economy development of every sea country. Exact estimation of the sea floor relief parameters is very important not only for port development but also for scientists. Sonar image corrections are constantly made with a high margin of error, using GIS. New correction methods are developed. They include: mechanical correction of the cables of the side-scan sonar, programmable correction of the ship navigation and steering system, other software tolls with developed correction and control algorithms. Most commonly sea floor images are made using side scan sonar. It is used for rapid seafloor imaging. The quality of the captured images is strongly influenced by the sonar towing consistency. Even small sonar disturbances caused by the vessels’ towing motion can affect the quality of the images. Therefore, to reduce the influence of the ship motion new methods are being developed. In some cases heave motion compensation can prove to be effective. In this paper an efficient heave motion detecting system was proposed and briefly analysed. Sonar and the ship motion were taken into account during the development and testing of the heave motion compensation system prototype.

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Acknowledgments

This work was supported by several projects, including the European Regional Development Fund in the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02. 0070), Development of human resources in research and development of latest soft computing methods and their application in practice project (CZ.1.07/2.3.00/20.0072) funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic, the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement no. 218086 and the Latvia-Lithuania cross border cooperation programme project Cross-border DISCOS (JRTC Extension in Area of Development of Distributed Real-Time Signal Processing and Control Systems, code: LLIV-215).

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Correspondence to Arūnas Andziulis .

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Andziulis, A., Lenkauskas, T., Eglynas, T., Vozňák, M., Jakovlev, S. (2015). Investigation of Sonar Stabilisation Method for Improved Seafloor Image Quality. In: Ivan, I., Benenson, I., Jiang, B., Horák, J., Haworth, J., Inspektor, T. (eds) Geoinformatics for Intelligent Transportation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11463-7_1

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