References
- Alexandrou , D. and D. Pantzartzis . 1990 . Seafloor classification with neural networks. OCEANS'90 Conference Proceedings, Washington, D.C., 18–23.
- Amiri-Simkooei , A. R. , M. Snellen , and D. G. Simons . 2009 . Riverbed sediment classification using multi-beam echo-sounder backscatter data . J. Acoust. Soc. Am. 126 ( 4 ): 1724 – 1738 .
- Blondel , P. and O. G. Sichi . 2009 . Textural analyses of multibeam sonar imagery from Stanton Banks, Northern Ireland continental shelf . Appl. Acoust. 70 : 1288 – 1297 .
- Chakraborty , B. , R. Kaustubha , A. Hegde , and A. Pereira . 2001 . Acoustic seafloor sediment classification using self-organizing feature maps . IEEE T. Geosci. Remote 39 ( 12 ): 2722 – 2725 .
- Chakraborty , B. , V. Kodagali , and J. Baracho . 2003 . Sea-floor classification using multibeam echo-sounding angular backscatter data: A real-time approach employing hybrid neural network architecture . IEEE J. Oceanic Eng. 28 ( 1 ): 121 – 128 .
- Collier , J. S. and C. J. Brown . 2005 . Correlation of sidescan backscatter with grain size distribution of surficial seabed sediments . Mar. Geol. 214 : 431 – 449 .
- De , C. and B. Chakraborty . 2010 . Preference of features for classification of seafloor sediments using neural networks . Mar. Geophys. Res. 31 : 215 – 221 .
- De , C. and B. Chakraborty . 2011 . Model-based acoustic remote sensing of seafloor characteristic . IEEE T. Geosci. Remote 49 ( 10 ): 3868 – 3877 .
- De , C. and B. Chakraborty . 2012 . Estimation of mean grain size of seafloor sediments using neural network . Mar. Geophys. Res. 33 : 45 – 53 .
- Ferrini , V. L. and R. D. Flood . 2006 . The effects of fine-scale surface roughness and grain size on 300 kHz multibeam backscatter intensity in sandy marine sedimentary environments . Mar. Geol. 228 : 153 – 172 .
- Goff , J. A. , H. C. Olson , and C. S. Duncan . 2000 . Correlation of side-scan backscatter intensity with grain-size distribution of shelf sediments, New Jersey Margin . Geo-Marine Letters 20 : 43 – 49 .
- Gonidec , Y. L. , G. Lamarche , and I. C. Wright . 2003 . Inhomogeneous substrate analysis using EM300 backscatter imagery . Mar. Geophys. Res. 24 : 311 – 327 .
- Holland , J. H. 1975 . Adaptation in Natural and Artificial System . Ann Arbor , MI : The University of Michigan Press .
- Huseby , R. B. , O. Milvang , A. S. Solberg , and K. W. Bjerde . 1993 . Seabed classification from multibeam echo sounder data using statistical methods. OCEANS'93 Conference Proceedings, Victoria, B.C., Canada, 229–233.
- Kavli , T. , M. Carlin , and R. Madsen . 1993 . Seabed classification using artificial neural networks and other nonparametric methods. Proceedings of the International Conference on Acoustic Classification and Mapping of the Seabed, Bath, UK, 141–148.
- Lurton , X. , S. Dugelay , and J. M. Augustin . 1994 . Analysis of multibeam echo-sounder signals from the deep seafloor. OCEANS'94 Conference Proceedings, Brest, France, 213–218.
- Michalopoulou , Z. H. , D. Alexandrou , and C. de Moustier . 1995 . Application of neural and statistical classifiers to the problem of seafloor characterization . IEEE J. Oceanic Eng. 20 ( 3 ): 190 – 197 .
- Pace , N. G. and H. Gao . 1998 . Swathe seabed classification . IEEE J. Oceanic Eng. 13 ( 2 ): 83 – 90 .
- Pican , N. , E. Trucco , M. Ross , Y. Petillot , and I. Tena Ruiz . 1998 . Texture analysis for seabed classification: co-occurrence matrices vs. self-organizing maps. OCEANS'98 Conference Proceedings 424–428.
- Reut , Z. , N. G. Pace , and M. J. P. Heaton . 1985 . Computer classification of sea beds by sonar . Nature 314 ( 3 ): 426 – 428 .
- Satyanarayana , Y. , S. Naithani , and R. Anu . 2007 . Seafloor sediment classification from single beam echo sounder data using LVQ network . Mar. Geophys. Res. 28 : 95 – 99 .
- Simons , D. G. and M. Snellen . 2009 . A Bayesian approach to seafloor classification using multi-beam echo-sounder backscatter data . Appl. Acoust. 70 : 1258 – 1268 .
- Simrad . 1998 . EM3000 Multibeam Echosounder Operator Manual . Kongsberg , Norway : Kongsberg-Simrad Company .
- Simrad . 2001 . Triton for Windows 2000 Operator Manual . Norway : Kongsberg-Simrad Company .
- Stewart , W. K. , M. Jiang , and M. Marra . 1994 . A neural network approach to classification of sidescan sonar imagery from a midocean ridge area . IEEE. J. Oceanic Eng. 19 ( 2 ): 214 – 224 .
- Subramaniam , S. , H. Barad , A. B. Martinez , and B. Bourgeois . 1993 . Seafloor characterization using texture. Proceedings of the IEEE Southeastcon'93, Charlotte, N.C., 299–317.
- The First Institute of Oceanography (FIO) . 1984 . Natural Environments of the Jiaozhou Bay (In Chinese) . Beijing : Ocean Press .
- Urick , R. J. 1983 . Principle of Underwater Sound, , 3rd edition . New York : McGraw Hill .
- Yang , F. L. and J. N. Liu . 2003 . Seabed classification using BP neural network based on GA . Acta Oceanol. Sin. 22 ( 4 ): 523 – 531 .
- Zhou , X. H. , Y. Q. Chen , N. Emerson , and D. W. Du . 2006 . Fuzzy ARTMAP neural network for seafloor classification from multibeam sonar data . High Technology Letters 12 ( 2 ): 219 – 224 .
- Zieger , S. , T. Stieglitz , and S. Kininmonth . 2009 . Mapping reef features from multibeam sonar data using multiscale morphometric analysis . Mar. Geol. 264 : 209 – 217 .
- Zietz , S. , J. H. Satriano , and A. Geneva . 1996 . Development of physically-based ocean bottom classification analysis system using multibeam sonar backscatter. OCEANS'96 Conference Proceedings, Fort Landerdale, FL, 1058–1063.
- Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/umgt.