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EN
The article presents a method to determine the position of mechanically scanned sonar images by comparing them with the database of simulated synthetic images. The synthetic images are generated from high-density bathymetric data coming from the same fragment of water region, using the ray tracing method. The article discusses the issues related to the choice of the probability function as the method of image comparing which allows to find the correct georeference of the real image. For the correlation method and the logical conjunction method, which are believed to give the best results, detailed studies were performed, including boundary cases. The obtained results of matching are presented in tabular and graphic form.
EN
Mechanically scanned imaging sonars (MSIS) are mainly used for detection of small objects or aiding in underwater navigation in limited area. Obtained images are detailed and, especially for not experienced user, they may give an impression of a photography. However, the acoustic method of acquisition of sonar data must be taken into account, as understanding observed scene is essential to properly interpret the data. To aid the process of image interpretation the reference data may be used. In this paper the application of bathymetric data to MSIS sonar images is proposed. To match high resolution of MSIS images the density of bathymetric data must exceed the requirements of S-44 IHO norm. For this research a swath bathymetric system based on phase interferometry of acoustic signal was used to obtain such data in shallow waters. The article covers the motivation of usage of such data in comparison to other existing bathymetric systems. The proposed method uses acquired data to create additional channel in sonar image emphasizing sea-bed gradient in relation to sonar head position and distinguish invisible / shadowed areas. Proposed method is based on directional derivative of a sea-bed. Method presented in this article is a part of bigger research on enhancing interpretative potential of stationary sonar images [1].
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