Using wavelet techniques for multibeam sonar bathymetry data compression

• Autorzy: Chybicki A. , Łubniewski Z. , Moszyński M.
• Języki publikacji: EN

Abstrakty

EN

Multibeam sonars are widely used in applications like high resolution bathymetry measurements or underwater object imaging. One of the significant problems in multibeam sensing of the marine environment is large amount of data which must be transmitted from the sonar processing unit to an operator station using a limited bit rate channel. For instance, such a situation would be in the case when the multibeam sonar was mounted on the autonomous underwater vehicle operating on large depths and transmitting the data to the operator station using acoustic channel. In this context, the authors propose a method for multibeam sonar data size reduction. It relies on the use of wavelet decomposition technique combined with run-length and Huffman coding. The method was applied for lossy compression of raw bathymetry data which had been generated by a multibeam sonar processing unit in a form of a set of points in three-dimensional space. The performed tests revealed that without introducing the substantial distortion into the processed bathymetry data, the proposed approach allows to obtain better compression ratios than in the case of using standard lossy JPEG-like compression techniques.

• Wydawca: Polskie Towarzystwo Akustyczne. Oddział Gdański
• Czasopismo: Hydroacoustics
• Rocznik: 2010
• Tom: Vol. 13
• Strony: 31--38
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Chybicki A.

autor

Łubniewski Z.

autor

Moszyński M.

• Gdansk University of Technology Narutowicza 11/12 80-233, Gdansk, Poland,

Bibliografia

• [1] Z. Łubniewski, A. Chybicki, Using angular dependence of multibeam echo features in seabed classification, Proceedings of the 9th European Conference on Underwater Acoustics, 717-722, Paris, 2008.
• [2] J. Demkowicz, K. Bikonis, Combined spline wavelet decomposition for 3D seafloor imaging from multibeam sonar echoes, Acta Acustica United with Acustica, 92, 1- 187, 2006.
• [3] B. Buelens, R.Williams, A. Sale, T. Pauly, Computational challenges in processing and analysis of full-watercolumn multibeam sonar data, Proceedings of the 8th European Conference on Underwater Acoustics, Carveiro, 2006.
• [4] S. Ferguson, D. A. Chayes, Use of generic sensor format to store multibeam data, Marine Geodesy, 18 (4), 299-315, 1995.
• [5] L. Wu, A. Zielinski, Lossless compression of hydroacoustic image data, IEEE Journal of Oceanic Engineering, 22 (1), 1997.
• [6] S. Grgic, M. Grgic., B. Zovko-Cihlar, Performance analysis of image compression using wavelets, Transactions on Industrial Electronics, 48 (3), 682-695, 2001.
• [7] S. D. Bradley, Optimizing a scheme for run length encoding, Proceedings of the IEEE, 57 (1), 108-109, 1969.
• [8] D. A. Huffman, A method for the construction of minimum-redundancy codes, Proceedings of the I.R.E., 1098-1102, 1952.
• [9] EM SIMRAD Datagram Formats – Operators Manual, Kongsberg Maritime, 2004.