Side scan sonar (SSS) is one of the most widely used imaging systems in the underwater environment. It is relatively cheap and easy to deploy in comparison with more powerful sensors like multibeam echosounder or synthetic aperture sonar. Although, the SSS does not provide directly the seafloor bathymetry measurements. Its outputs are usually in a form of grey level acoustic images of seafloor. However, the analysis of such images performed by human eye allows creating semi-spatial impressions on seafloor relief and morphology. The 3D shape reconstruction from 2D images using SFS approach is one of classical problems in computer vision. In the paper, some methods based on Shape From Shading (SFS) technique for SSS images processing are presented. In the first method, the 3D seafloor relief is reconstructed using the information from both the currently processed and previous ping. The second method relies on the estimating the altitude gradient of the insonified surface from sonar data, combined with the use of shadow areas dimension. It is applied for 3D objects shape reconstruction and imaging.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.2478/pomr-2013-0033
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie wyróżnionym w JCR
- Language
- angielski
- Publication year
- 2013
