Clustering sea bottom texture

Author

Alparslan, Erhan ; Ergintav, Semih ; Aydöner, Cihangir ; Saatçilar, Ruhi ; Canon, S. ; Gezgin, Erhan ; Ünlü, Ahmet

Author_Institution

TUBITAK-MAM, Gebze, Turkey

fYear

2004

fDate

28-30 April 2004

Firstpage

759

Lastpage

762

Abstract

The sea bottom in a region of the Marmara Sea was measured by a multi beam echo sounder, DGPS and a side scan sonar system; a map was produced using the amplitude and coordinate information. This map was later transformed into ten dimensional texture space by texture analysis. The iso-data (iteratively self organizing data) clustering technique was then employed to generate different sea bottom classes.

Keywords

Global Positioning System; cartography; image texture; pattern classification; pattern clustering; sonar signal processing; surface texture; DGPS; Marmara Sea; differential GPS; iso-data clustering; iteratively self organizing data clustering; multi beam echo sounder; sea bottom classes; sea bottom texture classification; side scan sonar system; ten dimensional texture space; texture analysis; Coordinate measuring machines; Global Positioning System; Organizing; Q measurement; Sea measurements; Sonar measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th

Print_ISBN

0-7803-8318-4

Type

conf

DOI

10.1109/SIU.2004.1338642

Filename

1338642

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3487895