Published January 1, 2004
| Version v1
Conference paper
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Clustering sea bottom texture
Description
Sea bottom in a region of the Marmara Sea was measured by multi beam echo sounder, DGPS and side scan sonar system and a map was produced using the amplitude and coordinate information. This map was later transformed into ten dimensional texture space by texture analysis. Iso-data (iteratively self organizing) data clustering technique was then employed to generate different sea bottom classes.
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(218 Bytes)
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