Seabed Detection Using Application Of Image Side Scan Sonar Instrument (Acoustic Signal)

  • Muhammad Zainuddin Lubis Department of Informatics Engineering, Geomatics Engineering, Politeknik Negeri Batam, Batam Kepulauan Riau, 29461 Indonesia.
  • Husnul Kausarian Engineering Geology Program, Faculty of Engineering, Universitas Islam Riau, Jl. Kaharudin Nasution No. 113, Sago, Senapela, Kota Pekanbaru, Riau 28284, Indonesia.
  • Wenang Anurogo Department of Informatics Engineering, Geomatics Engineering, Politeknik Negeri Batam, Batam Kepulauan Riau, 29461 Indonesia.


The importance of knowing the method for seabed detection using side-scan sonar images with sonar instrument is a much-needed requirement right now. This kind of threat also requires frequent sonar surveys in such areas. These survey operations need specific procedures and special equipment to ensure survey correctness. In this paper describes the method of observation and retrieval of marine imagery data using an acoustic signal method, to determine a target based on the sea. Side scan sonar is an instrument consisting of single beam transducer on both sides. Side scan sonar (SSS) is a sonar development that is able to show in two-dimensional images of the seabed surface with seawater conditions and target targets simultaneously. The side scan sonar data processing is performed through geometric correction to establish the actual position of the image pixel, which consists of bottom tracking, slant-range correction, layback correction and radiometric correction performed for the backscatter intensity of the digital number assigned to each pixel including the Beam Angle Correction (BAC), Automatic Gain Control (AGC), Time Varied Gain (TVG), and Empirical Gain Normalization (EGN).


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How to Cite
LUBIS, Muhammad Zainuddin; KAUSARIAN, Husnul; ANUROGO, Wenang. Seabed Detection Using Application Of Image Side Scan Sonar Instrument (Acoustic Signal). Journal of Geoscience, Engineering, Environment, and Technology, [S.l.], v. 2, n. 3, p. 230-234, sep. 2017. ISSN 2541-5794. Available at: <>. Date accessed: 27 sep. 2017. doi:
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