Sidescan Sonar Image Enchancement Using a Decomposition Based on Orthogonal Functions. Applications with Chebyshev Polynomials

Authors

Pierre Cervenka, University of California - San DiegoFollow
Christian de Moustier, University of California - San Diego

Abstract

A method is presented to remove from sidescan sonar images of the seafloor, artifacts that are clearly unrelated to the backscattering properties of the seafloor. A spectral analysis performed on a ping by ping basis proved to be well suited to the problem. The technique relies on a decomposition using Chebyshev polynomials. This stochastic method does not require a priori knowledge of deterministic parameters. It deals with the low spatial frequency components of the image whose wavelengths are not very small compared to the swath width. Applications to sidescan sonar images obtained with the SeaMARC LI system are presented.

Department

Center for Coastal and Ocean Mapping

Publication Date

10-1991

Volume

2

Journal Title

IEEE Oceans

Pages

942-947

Conference Date

Oct 1 - Oct 3, 1991

Publisher Place

St. Andrews, New Brunswick, Canada

Publisher

IEEE

Digital Object Identifier (DOI)

10.1109/OCEANS.1991.628033

Document Type

Conference Proceeding

Recommended Citation

Cervenka, Pierre and de Moustier, Christian, "Sidescan Sonar Image Enchancement Using a Decomposition Based on Orthogonal Functions. Applications with Chebyshev Polynomials" (1991). IEEE Oceans. 170.
https://scholars.unh.edu/ccom/170