Record Details

Seafloor classification using echo- waveforms: A method employing hybrid neural network architecture

DRS at CSIR-National Institute of Oceanography

View Archive Info
 
 
Field Value
 
Title Seafloor classification using echo- waveforms: A method employing hybrid neural network architecture
 
Creator Chakraborty, B.
Mahale, V.
DeSouza, C.
Das, P.
 
Subject ocean floor
seafloor mapping
backscatter
acoustic data
continental shelves
 
Description This letter presents seafloor classification study results of a hybrid artificial neural network architecture known as learning vector quantization. Single beam echo-sounding backscatter waveform data from three different seafloors of the western continental shelf of India are utilized. In this letter, an analysis is presented to establish the hybrid network as an efficient alternative for real-time seafloor classification of the acoustic backscatter data.
 
Date 2008-07-02T05:06:16Z
2008-07-02T05:06:16Z
2004
 
Type Journal Article
 
Identifier IEEE Geoscience And Remote Sensing Letters, Vol.1; 196-200p.
http://drs.nio.org/drs/handle/2264/1146
 
Language en
 
Rights Copyright [2004]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
 
Publisher IEEE