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|Title: ||Seafloor backscatter signal simulation and classification|
|Authors: ||Mahale, V.|
El Dine, W.G.
|Citation: ||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.|
|Issue Date: ||2005 |
|Publisher: ||Allied, India|
|Abstract: ||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|
|Document type: ||Conference Article|
|Copyright: ||Copyright . 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 If it is brought to our notice by copyright holder that the rights are voilated then the item would be withdrawn.|
|Appears in Collections:||Engineering & Instrumentation|
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