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Number 4

Underwater Multiple Objects Detection and Tracking using Multibeam and Side Scan Sonar

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  • Henry M. Manik and Djoko Hartoyo and Saifur Rohman 2014. Underwater Multiple Objects Detection and Tracking using Multibeam and Side Scan Sonar. International Journal of Applied Information Systems. 7, 4 (June 2014), 5-8. DOI=http://dx.doi.org/10.5120/ijais451180 
  • @article{10.5120/ijais2017451568,
author = {Henry M. Manik and Djoko Hartoyo and Saifur Rohman},
title = {Underwater Multiple Objects Detection and Tracking using Multibeam and Side Scan Sonar},
journal = {International Journal of Applied Information Systems},
issue_date = {June 2014},
volume = {7},
number = {},
month = {June},
year = {2014},
issn = {},
pages = {5-8},
numpages = {},
url = {/archives/volume7/number4/634-1180},
doi = { 10.5120/ijais14-451180},
publisher = { xA9 2013 by IJAIS Journal},
address = {}
}

  • %1 451180
%A Henry M.  Manik
%A Djoko Hartoyo
%A Saifur Rohman
%T Underwater Multiple Objects Detection and Tracking using Multibeam and Side Scan Sonar
%J International Journal of Applied Information Systems
%@ 
%V 7
%N 
%P 5-8
%D 2014
%I  xA9 2013 by IJAIS Journal

Abstract

The objectives of this research is to find out underwater information such as water depth and position of the underwater target using Multibeam and Side Scan Sonar instruments. These instruments are hydroacoustic instrument capable for detecting bathymetry and determine the condition of the sea bottom. In this survey, the data acquisitions are conducted by using a Multibeam Reson Hydrobat and Side Scan Sonar EdgeTech 4200. Bathymetric data were processed using PDS 2000 and a Caris HIPS & SIPS 6. 1 software. Side Scan Sonar Data were processed with SonarWeb and a Caris HIPS & SIPS 6. 1 software. The results of the research are bathymetry map with depths ranging from 4. 07 meters to 58. 15 meters and found the multiple objects such as target-shaped box or square, strap-shaped targets, target-shaped small bumps, and target objects strapped. The mosaics of acoustic wave reflection intensity were resulted from the sea bottom and have been obtained the estimation value of the highest amplitude from the target shape of frame bridge is 7200–7974 mV and the lowest of the bottom substrate is 258-454 mV.

References

  1. Hansen R E. 2011. Introduction to synthetic aperture sonar, in Sonar Systems. Edited by Nikolai Kolev. First Edition. InTech, Croatia. p. 1-25.
  2. Medwin H and Clay C S. 1998. Fundamentals of Acoustical Oceanography. Academic Press. London.
  3. Bartholoma A. 2006. Acoustic bottom detection and seabed classification in the German Bight, Southern North Sea. Springer : Wilhelmshaven, Germany. Vol (26): 177 – 184.
  4. Manik , H. M. 2011. Underwater Acoustic Detection and Signal Processing Near the Seabed, in Sonar Systems. Edited by Nikolai Kolev. First Edition. InTech, Croatia. Hal. : 255- 274.
  5. Tritech International Limited. 2008. Side Scan Sonar.
  6. CARIS. 2007. Caris Hips and Ships 6. 1. 1 User's Guide. 115 Waggoners Lane, Fredericton, New Brunswick, Canada, E3B 2L4.
  7. PDS 2000. 2011. PDS 2000 User Manual Version 4. 0. 0
  8. RESON B. V. Stuttgartstraat 42- 44 3047 AS Rotterdam The Netherlands.
  9. Mike K. 2008. Estimation of the ocean sound velocity profile.
  10. IHO. 1998. Special Publication 44. International Hydrography Bureau. Monaco.
  11. Urick R J. 1967. Principles of Underwater Sound for Engineers. Mc-Graw-Hill, New York, the United States of America.
  12. Anderson J T, D. V. Holliday, R. Kloser, D. G. Reid, and Y. Simrad. 2008. Acoustic Seabed Classification: Current Practice and Future Directions ICES J. Mar. Sci, 65: 1004-1011.
  13. Kågesten, G. 2008. Geological seafloor mapping with backscatter data from a multibeam echo sounder. Thesis. Department of Earth Sciences, Gothenburg University Box 460, SE- 405 30, Gothenburg, Sweden ISSN 1401-5765.
  14. Collier, J. and Brown, C. , 2005. Correlation of side scan backscatter with grain size distribution of surface seabed sediments. Marine Geology, 214, 4:15, 431-449.
  15. K. Foote, "Optimizing two targets for calibrating a broadband multibeam sonar," in OCEANS 2006, p. 1–4.
  16. E. Ona, V. Mazauric, and L. N. Andersen, "Calibration methods for two scientific multibeam systems," ICES J. Mar. Sci. 66, 1326–1334 (2009).
  17. B. Buelens, R. Williams, A. Sale, and T. Pauly, "Model inversion for midwater multibeam backscatter data analysis," in IEEE Oceans 05 Europe, 2005, pp. 431–435.

Keywords

multibeam sonar, side scan sonar, bathymetry, multiple objects, detection, tracking

Index Terms

Computer Science
Information Sciences