The paper proposes combined spline-wavelet approach to the raw echoes seaflor imaging from Multibeam Sonar System (MBSS) records. Wavelet representation is closely related to image representation, due to its unique approximations properties. Splines have the best approximation properties among all known wavelets of a given order, so they are best suited for approximating of smooth seafloor surface. Additionaly, wavelet bases have explict mathematical expression in both the time and scale domain, which considerably facilitates their manipulation. In consequence, combined spline-wavelet decomposition seems to be useful in the seafloor imaging based on sonar data. It also provides better approximation, and versatile, compact representation, which results in data reduction. The suggested approach, however, introduces some side effects in the form of artifacts or oscillations on the edges of the decomposed image.
Authors
Additional information
- Category
- Publikacja w czasopiśmie
- Type
- artykuł w czasopiśmie z listy filadelfijskiej
- Language
- angielski
- Publication year
- 2006
