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Math Geol: 575–592 DOIs11004Mapping Seabed Geology by Ground-Truthed Textural Image/Neural Network Classification of Acoustic Backscatter Mosaics
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Document Date: 2010-03-02 18:15:43


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City

Sydney Harbour / /

Company

Geoacoustics Limited. / /

Country

Australia / /

/

Facility

The University of Sydney / /

IndustryTerm

sustainable management / post-acquisition signal processing / acoustic energy / feed-forward networks / automated texture classification algorithms / subsequent neural network / neural network / data processing / Automatic processing / given algorithm / neural networks / subsequent network / artificial neural network / routine oriented devices / artificial neural networks / optimisation algorithm / backpropagation networks / back-propagation networks / learning algorithm / /

NaturalFeature

Blues Bay / Balls Bay / /

OperatingSystem

Unix / /

Organization

Defence and Science Technology Organisation / University of Sydney / Sydney / International Association for Mathematical Geology / School of Geosciences / /

Person

Sian Eagles / R. Dietmar Müller / /

Position

human interpreter / Feed-forward / SVP / /

Product

Matlab / /

ProgrammingLanguage

C / /

PublishedMedium

Mathematical Geology / /

SportsLeague

International Association / /

Technology

learning algorithm / remote sensing / Neural Network / Unix / Marquardt optimisation algorithm / given algorithm / training algorithm / automated texture classification algorithms / /

URL

http /

SocialTag