DocumentCode :
635665
Title :
Hybrid method to extract striation features from ship noise spectrogram
Author :
Qun-yan Ren ; Debeir, Olivier ; Hermand, Jean-Pierre
Author_Institution :
Acoust. & Environ. hydroacoustics Lab., Univ. libre de Bruxelles (U.L.B.), Brussels, Belgium
fYear :
2013
fDate :
10-14 June 2013
Firstpage :
1
Lastpage :
7
Abstract :
The features of interference striations excited by a passing ship are strongly determined by the acoustic waveguide properties. These striation position and orientation have been used for environmental inverse problems. The ship noise spectrogram can be very noisy due to measurement conditions, i.e., high ambient noise level or transmission loss noise. It is necessary to enhance the underlying interference structure before extracting the striation features of interest. A hybrid image processing method is introduced in this paper for interference structure enhancement. It first uses a Gabor filter bank to provide the local image intensity maximum value in different directions, and then locally equalizes the resulting image. Different ship noise data sets from different experiments are processed by the proposed method. Preliminary results demonstrate that the hybrid method can effectively identify striations in both low and high frequency regions, especially for the data set collected under particularly difficult measurement conditions due to strong current, surface wave, high ambient noise level, complex time-varying source spectrum, etc. Consequently, better estimates of the position and orientation of local striations can be obtained, which will likely improve the accuracy of striation-based inversion techniques.
Keywords :
Gabor filters; acoustic noise; acoustic waveguides; interference suppression; ships; Gabor filter bank; acoustic waveguide; environmental inverse problem; high ambient noise level; hybrid image processing; interference striations; local image intensity maximum value; measurement condition; ship noise spectrogram; striation orientation; striation position; striation-based inversion technique; surface wave; transmission loss noise; Feature extraction; Interference; Marine vehicles; Noise; Sediments; Spectrogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS - Bergen, 2013 MTS/IEEE
Conference_Location :
Bergen
Print_ISBN :
978-1-4799-0000-8
Type :
conf
DOI :
10.1109/OCEANS-Bergen.2013.6608161
Filename :
6608161
Link To Document :
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