Side scan sonar image data mapping with geographic reference system

  • Authors

    • R Kumudham
    • V Rajendran
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.21.12454
  • Sediment classification, global reference system, WGS, seabed, target, object recognition, UTM.

  • Many researchers have been done in classifying the surface of the sea floor. Only few concentrated in classifying the sediment layers of the sea floor and the target objects buried. Side Scan Sonar is one such tool, which is used in collecting the images of the seafloor. Sonar equipment transmits a low frequency signal, towards the surface of the seabed for target recognition. It is necessary to locate the area and positioning where the target is located whether it is a ship wreckage or plane crash, mine recognition etc. This paper is proposed to determine the location and position in user friendly matlab software environment, where the sonar image data is collected and is mapped with Global Reference System.

     

     

  • References

    1. [1] Kumudham R & Rajendran V, “Object recognition in underwater sonar images using support vector machineâ€, International Journal of Control Theory and Applications (IJCTA), Vol.10, No.32, (2017), pp.283-290.

      [2] Caulfield DD & Yung CY, Prediction of shallow sub-bottom sediment acoustic impedance while estimating absorption and other losses. J. Canad. Soc. Explor. Geophys., (1983).

      [3] Chivers RC, Emerson N & Burns D, “New acoustic processing for underway surveying. Hydrogr J., (1990).

      [4] Dimitrios E, Amiri SA, Mirjam S & Dick GS, “Improving riverbed sediment classification using backscatter and depth residual features of multi-beam echo-sounder systemsâ€, Acoust. Soc. Am., (2012).

      [5] Laurent G, Xavier L, Back scattering from buried sediment layers: The equivalent input backscattering strength mode. J. Acoust. Soc. Am., Vol.109, No.1, (2001).

      [6] Hughes Clarke JE, Danforth BW & Valentine PA, “Seabed classification using backscatter angular response at 95 kHzâ€, Lerici, Italy: High Frequency Acoustics in Shallow Water, NATO SACLANT Undersea Research Centre, (1997).

      [7] "World Geodetic System website of the NGA (archived April 2012)â€, National Geospatial-Intelligence Agency. Archived from the original, (2012).

      [8] “The EGM96 Geoid Undulation with Respect to the WGS84 Ellipsoidâ€, NASA.

      [9] Note PRU & Note EEC, “European Organisation for the Safety of Air Navigation and IfEN: WGS 84 Implementation Manualâ€, (1998).

      [10] National Imagery and Mapping Agency Technical Report TR 8350.2 Third Edition, Amendment, Department of Defense World Geodetic System, (1984).

      [11] Kumudham R & Rajendran V, “Implementation of various segmentation algorithms on side scan sonar images and analysing its performanceâ€, ARPN, Vol.12, No.8, (2017).

      [12] Kumudham R & Rajendran V, “Speeded up robust feature extraction from underwater sonar imagesâ€, International Journal of Control Theory and Applications (IJCTA), Vol.10, No.32, (2017), pp.277-282.

      [13] Kumudham R, Swaminathan A & Rajendran V, “Comparison of the performance metrics of median filter and wavelet filter when applied on SONAR images for denoisingâ€, International Conference on Computation of Power, Energy Information and Communication (ICCPEIC), (2016), pp.288-290.

      [14] Kumudham R &Rajendran V, “Side scan sonar image denoising and classificationâ€, Journal of Advanced Research in Dynamical & Control Systems, (2017), pp.55-65.

  • Downloads

  • How to Cite

    Kumudham, R., & Rajendran, V. (2018). Side scan sonar image data mapping with geographic reference system. International Journal of Engineering & Technology, 7(2.21), 410-413. https://doi.org/10.14419/ijet.v7i2.21.12454