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Using wavelet analysis to classify and segment sonar signals scattered from underwater sea beds

Abstract:

This work is concerned with the automatic characterization and classification of sea-bed sediments of using wavelet transform techniques to analyse the incoming one-dimensional signals from both sidescan and sidescan bathymetric sonars. This method studies the sum of energies at different scales of the wavelet transform of the signal then uses these sums as features to classify different types of sediment. The method uses both dyadic and discrete wavelet transforms, and several types of wavel...

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Publisher copy:
10.1080/0143116021000035012

Authors


Atallah, L More by this author
Smith, PJP More by this author
Journal:
International Journal of Remote Sensing
Volume:
24
Issue:
21
Pages:
4113-4128
Publication date:
2003-11-10
DOI:
EISSN:
1366-5901
ISSN:
0143-1161
URN:
uuid:bf8d0b13-2c01-4221-ba31-df300806dd26
Source identifiers:
324755
Local pid:
pubs:324755
Language:
English

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