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Seafloor backscatter signal simulation and classification

DRS at CSIR-National Institute of Oceanography

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Title Seafloor backscatter signal simulation and classification
 
Creator Mahale, V.
El Dine, W.G.
Chakraborty, B.
 
Subject Ocean floor
Backscatter
Echosounders
Mathematical models
Simulation
 
Description In this paper, simulation study is initiated to observe the interaction effect of the sound signal with different seafloors types and its classification. Simulation of the echo envelope signal is done by accurately formulating a mathematical model. In this model a smooth echo envelope is generated then mixed up with multiplicative and additive noise. Several such echo signals were simulated for three types of seafloor. An Artificial Neural Network based classification technique is conceived to classify these echo signals based on the various features like peak amplitude, energy and fractal dimension. The seafloor classifications realized using ANN's Multi-layer Perceptron, efficiently performs the task with high classification percentages
 
Date 2008-02-22T04:58:50Z
2008-02-22T04:58:50Z
2005
 
Type Conference Article
 
Identifier Proceedings of the National Symposium on Ocean Electronics (SYMPOL-2005), 15-16 December, 2005 , eds. Pillai, P.R.S.; Balakrishnan, K.G.; Supriya, M.H. 49-54p.
http://drs.nio.org/drs/handle/2264/917
 
Language en
 
Rights Copyright [2005]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.
 
Publisher Allied, India