Processing Sidescan Data Using Statistical Filtering

Autor: K.Y. Cheung, J.A. Bangham, R. Coates
Rok vydání: 2005
Předmět:
Zdroj: Conference Proceedings on Engineering in the Ocean Environment.
DOI: 10.1109/oceans.1990.584708
Popis: This paper discusses the use of statistical filtering techniques in sidescan sonar image processing. A brief review of the objectives in processing sidescan data is given.The median root median methods for filtering are rejected in favour of a novel evolution of these strategies: the datasieve and root datasieve, which offer enhanced performance as a prefilter prior to edge detection. They also classify objects according to their size and permit a useful class of "texture" to be defined. These various methods are applied to practical, corrupted sidescan sonar records to show how overall signal quality may be improved.
Databáze: OpenAIRE