Sonar discrimination of cylinders from different angles using neural networks          neural networks

Lars Nonboe Andersen; Whiwlow Au; Jan Larsen; Lars Kai Hansen

doi:10.1109/ICASSP.1999.759941

Sonar discrimination of cylinders from different angles using neural networks neural networks

Lars Nonboe Andersen
, Whiwlow Au
, Jan Larsen
, Lars Kai Hansen

University of Hawaii

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper describes an underwater object discrimination system applied to recognize cylinders of various compositions from different angles. The system is based on a new combination of simulated dolphin clicks, simulated auditory filters and artificial neural networks. The model demonstrates its potential on real data collected from four different cylinders in an environment where the angles were controlled in order to evaluate the models capabilities to recognize cylinders independent of angles.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing
Volume	2
Publisher	IEEE
Publication date	1999
Pages	1121-1124
ISBN (Print)	0-7803-5041-3
DOIs	https://doi.org/10.1109/ICASSP.1999.759941
Publication status	Published - 1999
Event	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing - Phoenix, United States Duration: 15 Mar 1999 → 19 Mar 1999 Conference number: 24 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110

Conference

Conference	1999 IEEE International Conference on Acoustics, Speech, and Signal Processing
Number	24
Country/Territory	United States
City	Phoenix
Period	15/03/1999 → 19/03/1999
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110

Bibliographical note

Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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Cite this

@inproceedings{e2719fdf91224c6096b0a161580279ae,

title = "Sonar discrimination of cylinders from different angles using neural networks neural networks",

abstract = "This paper describes an underwater object discrimination system applied to recognize cylinders of various compositions from different angles. The system is based on a new combination of simulated dolphin clicks, simulated auditory filters and artificial neural networks. The model demonstrates its potential on real data collected from four different cylinders in an environment where the angles were controlled in order to evaluate the models capabilities to recognize cylinders independent of angles.",

author = "Andersen, \{Lars Nonboe\} and Whiwlow Au and Jan Larsen and Hansen, \{Lars Kai\}",

note = "Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1999 ; Conference date: 15-03-1999 Through 19-03-1999",

year = "1999",

doi = "10.1109/ICASSP.1999.759941",

language = "English",

isbn = "0-7803-5041-3",

volume = "2",

pages = "1121--1124",

booktitle = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",

publisher = "IEEE",

address = "United States",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110",

}

Andersen, LN, Au, W, Larsen, J & Hansen, LK 1999, Sonar discrimination of cylinders from different angles using neural networks neural networks. in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. vol. 2, IEEE, pp. 1121-1124, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing, Phoenix, Arizona, United States, 15/03/1999. https://doi.org/10.1109/ICASSP.1999.759941

Sonar discrimination of cylinders from different angles using neural networks neural networks. / Andersen, Lars Nonboe; Au, Whiwlow; Larsen, Jan et al.
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. Vol. 2 IEEE, 1999. p. 1121-1124.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AU - Larsen, Jan

AU - Hansen, Lars Kai

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AB - This paper describes an underwater object discrimination system applied to recognize cylinders of various compositions from different angles. The system is based on a new combination of simulated dolphin clicks, simulated auditory filters and artificial neural networks. The model demonstrates its potential on real data collected from four different cylinders in an environment where the angles were controlled in order to evaluate the models capabilities to recognize cylinders independent of angles.

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BT - Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

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