Journal article
Using wavelet analysis to classify and segment sonar signals scattered from underwater sea beds
- Abstract:
-
This work is concerned with the automatic characterisation and classification of seabed sediments by using wavelet transform techniques to analyse the incoming one-dimensional signals from both sidescan and sidescan bathymetric sonars. This method extracts features from the energies at different scales of the wavelet transform of the signal then uses these features to classify different types of sediments. The features selected include the sum and standard deviation of the wavelet coefficient...
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Bibliographic Details
- Journal:
- Acta Acustica united with Acustica
- Volume:
- 88
- Issue:
- 5
- Pages:
- 615-618
- Publication date:
- 2002-09-01
- ISSN:
-
1436-7947
Item Description
- Language:
- English
- Pubs id:
-
pubs:324762
- UUID:
-
uuid:6cbee314-17b6-4bea-bc31-489b2e77eb74
- Local pid:
- pubs:324762
- Source identifiers:
-
324762
- Deposit date:
- 2013-11-17
Terms of use
- Copyright date:
- 2002
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