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Surface identification by acoustic reflection characteristics using time delay spectrometry and artificial neural networks
conference contribution
posted on 1997-12-01, 00:00 authored by Pubudu PathiranaPubudu Pathirana, A ZaknichThe identification of surfaces using incident sound waves is associated with a variety of different applications including, sonar, seabed scanning and medical ultrasound imaging. The biologically innocuous nature, applicability, and simplicity involved in generation and measurement, makes sound inherently a more attractive agent for most applications. Time delay spectrometry can be employed as a way of isolating a desired reflected signal from other reflections dramatically increasing the signal to noise ratio of the receiver of a neural network based classification system. A surface classification system with the analysis of its performance is introduced in this paper as a successful implementation of the proposed methodology. © 1997 IEEE.
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Volume
1Pagination
31 - 36Publisher DOI
ISSN
1098-7576ISBN-13
9780780341227ISBN-10
0780341228Publication classification
E Conference publication; E1.1 Full written paper - refereedCopyright notice
1997, IEEETitle of proceedings
IEEE International Conference on Neural Networks - Conference ProceedingsUsage metrics
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