Title :
Seafloor Classification Using Acoustic Backscatter Echo-waveform - Artificial Neural Network Applications
Author :
Chakraborty, Bishwajit ; Mahale, Vasudev ; Navelkar, Gajanan ; Desai, R. G Prabhu
Author_Institution :
Nat. Inst. of Oceanogr., Dona Paula
Abstract :
In this paper seafloor classifications system based on artificial neural network (ANN) has been designed. The ANN architecture employed here is a combination of self organizing feature map (SOFM) and linear vector quantization (LVQ1). Currently acquired echo-waveform data acquired using single beam echo-sounder from twelve seafloor sediment locations from central part of the western continental shelf of India is analyzed and performance of the classifier is presented in this paper.
Keywords :
oceanographic techniques; sediments; self-organising feature maps; underwater sound; vector quantisation; acoustic backscatter echo waveform; artificial neural network; linear vector quantization; seafloor classification; seafloor sediment locations; self organizing feature map; Acoustic applications; Artificial neural networks; Backscatter; Data acquisition; Frequency; Grain size; Organizing; Sampling methods; Sea floor; Sediments;
Conference_Titel :
OCEANS 2006 - Asia Pacific
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0138-3
Electronic_ISBN :
978-1-4244-0138-3
DOI :
10.1109/OCEANSAP.2006.4393981
