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

1. Balakrishnan, K. J. & Touba, N. A.: Relationship BetweenEntropy and Test Data Compression, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 26 (2) 2007: 386 - 395.10.1109/TCAD.2006.882600Search in Google Scholar

2. Buelens, B., Williams, R., Sale, A., Pauly, T.: Model Inversionfor Midwater Multibeam Backscatter Data Analysis, Oceans 2005 - Europe, 1: 431 - 435.10.1109/OCEANSE.2005.1511753Search in Google Scholar

3. Buelens, B., Williams, R., Sale, A., Pauly, T.: ComputationalChallenges in Processing and Analysis of Full-WatercolumnMultibeam Sonar Data. In: Proceedings of the Eighth European Conference on Underwater Acoustics, 12-15 June 2006. Carvoeiro, Portugal.Search in Google Scholar

4. Chang, Y.-W., Truong, T.-K., Chang, Y.: Direct mapping architecture for JPEG Huffman decoder, Communications, IEE Proceedings, 153 (3) 2006: 333 - 340.10.1049/ip-com:20050067Search in Google Scholar

5. Chybicki, A., Moszyński, M., Pocwiardwoski, P.: Compressionalgorithms for multibeam sonar records, Hydroacoustics, vol. 11, 2008, pp. 55-63, 25th Symposium on Hydroacoustic (SHA’25), Jastrzębia Gora, Poland, 25-28 May, 2008.Search in Google Scholar

6. Demkowicz, J. & Bikonis, K.: Combined Spline WaveletDecomposition for 3D Seafloor Imaging from Multibeam SonarEchoes, Acta Acustica United with Acustica, 92, 2006: 1-187.Search in Google Scholar

7. Ferguson, S. & Chayes, D. A.: Use of Generic Sensor Format toStore Multibeam Data, Marine Geodesy, 18 (4) 1995: 299-315.10.1080/15210609509379762Search in Google Scholar

8. Foote, K. G., Chu, D., Hammar, T. R., Baldwin, K. C., Mayer, L. A., Hufnagle, L. C., Jech, J. M.: Protocols for calibratingmultibeam sonar, Journal of the Acoustical Society of America, 114 (4) 2003: 2307-2308.10.1121/1.4780911Search in Google Scholar

9. Gerlotto, F., Soria, M., Freon, P.: From two dimensions to three:the use of multibeam sonar for a new approach in fisheriesacoustics, Canadian Joumal of Fisheries and Aquatic Science, 56 1999: 6-12.10.1139/f98-138Search in Google Scholar

10. Hammerstad, E.: Advanced multibeam echosounder technology, Sea Technology, 36 1995: 67-69.Search in Google Scholar

11. Hashemian, R.: Direct Huffman coding and decoding using thetable of code-lengths, Information Technology: Coding and Computing [Computers and Communications] Proceedings: 237-241, 2003.Search in Google Scholar

12. Huffman, D. A.: a Method for the Construction of Minimum-Redundancy Codes, Proceedings of the I.R.E.: 1098-1102, 1952.Search in Google Scholar

13. Khademi, A. & Krishnan, S.: Comparison of JPEG 2000 andOther Lossless Compression Schemes for Digital Mammograms. pp. 3771-3774. In: Engineering in Medicine and Biology Society, 2005 IEEE-EMBS 2005 27th Annual International Conference. 17-18 Jan. 2006, Shanghai, China.10.1109/IEMBS.2005.161730517281050Search in Google Scholar

14. Kulawiak, M., Chybicki, A., Moszynski, M.: Web-based GIS asa tool for supporting marine research, Marine Geodesy 33 (2 & 3) 2010: 135-153.10.1080/01490419.2010.492280Search in Google Scholar

15. Larmore, L. L.: Height restricted optimal binary trees, SIAM Journal of Computing, 16 1986: 1115-1123.10.1137/0216070Search in Google Scholar

16. Lubniewski, Z., Stepnowski, A. Chybicki, A.: Seafloorcharacterisation combined approach using multibeam sonarecho signal processing and image analysis. p. 131-137. In: Proceedings of 10th European Conference on Underwater Acoustics ECUA 2010, Istanbul, Turkey.Search in Google Scholar

17. Marcus, J.: SeaBat 7K Data Format Definition for Ifremer, Revision: B, Reson Inc, 2007.Search in Google Scholar

18. Mayer, L., Li, Y. & Melvin, G.: 3D visualization for pelagicfisheries research and assessment, ICES Joumal of Marine Science, 59, 2002: 216-225.10.1006/jmsc.2001.1125Search in Google Scholar

19. Mayer, L. A., Raymond, R., Glang, G., Richardson, M. D., Traykovski, P., Trembanis, A. C.: High-Resolution Mappingof Mines and Ripples at the Martha’s Vineyard CoastalObservatory, IEEE Journal of Oceanic Engineering, 32 (1) 2007: 133-149.10.1109/JOE.2007.890953Search in Google Scholar

20. Rřnhovde, A.: High Resolution Beamforming of SIMRADEM3000 Bathymetric Multibeam Sonar Data, MSc Thesis, University of Oslo, Norway, 1999, 121 pp.Search in Google Scholar

21. Shah, G. S. & Talukdar, K. K.: a study of enhanced signalprocessing on multibeam bathymetric data, OCEANS‘99 MTS/ IEEE Riding the Crest into the 21st Century, 2 (2) 1999: 904-909.Search in Google Scholar

22. Shannon, C. E.: a mathematical theory of communications, Bell Systems Technical Journal, 27, 1948: 379-423.10.1002/j.1538-7305.1948.tb01338.xSearch in Google Scholar

23. Thorner, J. E.: Approaches to sonar beamforming. p. 69 - 78. In: Proceedings of the 1990 IEEE Southern Tier Technical Conference. April 1990, Binghamton, NY, USA.Search in Google Scholar

24. Titchener, M. R.: a measure of information, p 353 - 362. In: Data Compression Conference 2000 Proceedings DCC 2000, 28-30 March 2000. Snowbird, USA.Search in Google Scholar

25. Van Buren, A. L. & Blue, J. E.: Calibration of underwatertransducers at NRL, Journal of the Acoustical Society of America, 86 (S1) 1990: S60.10.1121/1.2027576Search in Google Scholar

26. Wu, L. & Zielinski, A.: Lossless Compression of HydroacousticImage Data, IEEE Journal of Oceanic Engineering, 22 (1) 1997: 93-101.10.1109/48.557543Search in Google Scholar

27. Xiaofeng, J. & Wenjun, Y.: Transient calibration of underwateracoustic transducers Measurement, Science and Technology, 9 (11) 1998.10.1088/0957-0233/9/11/009Search in Google Scholar