The approach to seafloor characterisation and imaging is presented. It relies on the combined, concurrent use of several techniques of multibeam sonar data processing. The first one is based on constructing the grey-level sonar images of seabed using the backscattering strength calculated for the echoes received in the consecutive beams. Then, the set of parameters describing the local region of sonar image is calculated. The second technique utilises the 3D model of the seabed surface, which is constructed as a set of (x, y, z) points using the detected bottom range for each beam in the multibeam system seafloor imaging procedure. For the local region of seabed surface, the descriptors like rms height and autocorrelation slope are calculated. The third technique assumes the use of a set of parameters of the multibeam echo envelope. Then, for selected parameters, the characteristic features quantitatively describing their dependence on seafloor incident angle, like slope, or range, are calculated. Finally, the features obtained by these three techniques are combined together. The proposed method has been tested using multibeam data records acquired from several bottom types in the Gulf of Gdańsk region. The obtained preliminary results show that application of the proposed combined approach improves the classification performance in comparison with those of using only the one scheme of seafloor multibeam data processing.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1007/978-94-007-2619-2_41
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2012
