Feature Extraction of Structures in Sea Water Using Self-Organizing Maps and Electromagnetic Waves

Murilo Teixeira Silva, Lurimar Smera Batista, Frederico Medeiros Vasconcelos de Albuquerque

Abstract


The use of Self-Organizing Map (SOM) algorithm for feature extraction and dimensionality reduction applied to underwater object detection with Low Frequency Electromagnetic Waves is presented. Computer simulation is used to generate a direct model for the study region, and a Self Organizing Map Algorithm is used to fit the data and return a similar model, with smaller dimensionality and same characteristics. Results show that virtual sensors are created by the SOM algorithm with consistent predictions, filling the resolution gap of the input data. These results are useful for fastening decision making algorithms by reducing the number of inputs to a group of significant data.

Keywords


Neural networks; Self organizing maps; Electromagnetism; Underwater environment

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References


L. S. Batista. Otimização computacional da técnica de elementos finitos para o modelamento geofísico eletromagnético. Master's thesis, Universidade Federal do Pará, Pará, 1991.

L. S. Batista. Espalhamento de Ondas Planas Eletromagnéticas Por Um Dique Vertical Com Cobertura . PhD thesis, Universidade Federal da Bahia, Bahia, 2001.

L. S. Batista and E. E. Sampaio. Scattering of electromagnetic plane waves by a buried vertical dike. Anais da Academia Brasileira de Ciências , 75(2):189207, 2003.

E. M. Golda, J. D. Walters, and G. F. GREEN. Applications of superconductivity to very shallow water mine sweeping. Naval Engineers Journal , 104(3):53-64, 1992.

P. K. Hansen. Magnetic motion tracker with transmitter placed on tracked object, Apr. 28 1998. US Patent 5,744,953.

S. Haykin. Neural Networks: A Comprehensive Foundation . International edition. Prentice Hall International, 1999.

E. C. Jordan and K. G. Balmain. Electromagnetic waves and radiating systems, volume 4. Prentice-Hall Englewood Clis, NJ, 1968.

S. P. Poplack, K. D. Paulsen, A. Hartov, P. M. Meaney, B. W. Pogue, T. D. Tosteson, M. R. Grove, S. K. Soho, and W. A. Wells. Electromagnetic breast imaging: Average tissue property values in women with negative clinical findings 1. Radiology , 231(2):571580, 2004.

R. Rojas. Neural networks: a systematic introduction . Springer, 1996.

A. Shaw, A. Al-Shamma'a, S. Wylie, and D. Toal. Experimental investigations of electromagnetic wave propagation in seawater. In Microwave Conference, 2006. 36th European , pages 572575. IEEE, 2006.




DOI: https://doi.org/10.5540/tema.2015.016.03.0261

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Trends in Computational and Applied Mathematics

A publication of the Brazilian Society of Applied and Computational Mathematics (SBMAC)

 

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