The new approach to seabed classification based on processing multibeam sonar echoes is presented. The multibeam sonars, besides their well verified and widely used applications like high resolution bathymetry measurements or underwater object imaging, are also the promising tool in seafloor identification and classification, having several advantages over conventional single beam echosounders. The proposed seabed classification method assumes the use of a set of parameters of the multibeam echo envelope, similarly as in single beam classification. These parameters include echo energy, echo length, statistical moments of echo energy, and the set of echo shape descriptors. Those are extracted for each consecutive beam allowing the estimation of their dependence on seafloor incident angle. The characteristic features of this dependence are described quantitatively and constitute the input information for an automatic supervised seabed classifier. The results of the simple classification procedure applied for multibeam data records acquired from several bottom types in Gdańsk Bay region are presented and discussed. It has been primarily shown that the proposed approach may be useful in seafloor clasification.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1121/1.2935426
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2008
