Referenced Items are not available for this document.
Classification of underwater targets from the acoustic backscattered signals is considered. Several different classification algorithms are tested and benchmarked not only for their performance but also to gain insight to the properties of the feature space. Results on a wideband 80-kHz acoustic backscattered data set collected for six different objects are presented in terms of the receiver operating characteristic (ROC) and robustness of the classifiers wrt reverberation.
Published in:
Neural Networks, IEEE Transactions on
(Volume:15
,
Issue:
1
)
Date of Publication: Jan. 2004
- Page(s):
- 189 - 194
- ISSN :
- 1045-9227
- INSPEC Accession Number:
- 8012923
- Digital Object Identifier :
- 10.1109/TNN.2003.820621
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 February 2004
- Issue Date :
- Jan. 2004
- Sponsored by :
- IEEE Computational Intelligence Society
- PubMed ID :
- 15387259
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