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Marine Geodesy Volume 28, 2005 - Issue 2
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Original Articles

Seafloor Classification of Multibeam Sonar Data Using Neural Network Approach

Xinghua Zhou Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hunghon, Kowloon, Hong Kong, China; The First Institute of Oceanography, State Oceanic Administration, Qingdao, China
&
Yongqi Chen Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hunghon, Kowloon, Hong Kong, China
Pages 201-206 | Received 13 Jun 2003, Accepted 06 Jul 2004, Published online: 24 Feb 2007

Citations (14)

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Tao Chunhui, Jin Xiaobing, Bian Aifei, Li Hongxing, Deng Xianming, Zhou Jianping, Gu Chunhua, Wu Tao & Roy Wilkens. (2015) Estimation of Manganese Nodule Coverage Using Multi-Beam Amplitude Data. Marine Georesources & Geotechnology 33:4, pages 283-288.
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Emily R. Lundblad, Dawn J. Wright, Joyce Miller, Emily M. Larkin, Ronald Rinehart, David F. Naar, Brian T. Donahue, S. Miles Anderson & Tim Battista. (2006) A Benthic Terrain Classification Scheme for American Samoa. Marine Geodesy 29:2, pages 89-111.
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Articles from other publishers (12)

Huang Zhi, Justy Siwabessy, Scott L. Nichol & Brendan P. Brooke. (2014) Predictive mapping of seabed substrata using high-resolution multibeam sonar data: A case study from a shelf with complex geomorphology. Marine Geology 357, pages 37-52.
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Yan Li, Yan Huang, Puqiang Zhu, Yeteng Luo & Kai Sun. (2014) Texture analysis for deep seabed type classification based on multifractal spectrum. Texture analysis for deep seabed type classification based on multifractal spectrum.
Kazi Ishtiak Ahmed & Urška Demšar. (2013) Improving seabed classification from Multi-Beam Echo Sounder (MBES) backscatter data with visual data mining. Journal of Coastal Conservation 17:3, pages 559-577.
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Zhi Huang, Justy Siwabessy, Scott Nichol, Tara Anderson & Brendan Brooke. (2013) Predictive mapping of seabed cover types using angular response curves of multibeam backscatter data: Testing different feature analysis approaches. Continental Shelf Research 61-62, pages 12-22.
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Chanchal De & Bishwajit Chakraborty. (2012) Estimation of mean grain size of seafloor sediments using neural network. Marine Geophysical Research 33:1, pages 45-53.
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Michael J. Watts, Yuxiao Li, Bayden D. Russell, Camille Mellin, Sean D. Connell & Damien A. Fordham. (2011) A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks. Ecological Modelling 222:15, pages 2606-2614.
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Ali R. Amiri-Simkooei, Mirjam Snellen & Dick G. Simons. (2011) Principal Component Analysis of Single-Beam Echo-Sounder Signal Features for Seafloor Classification. IEEE Journal of Oceanic Engineering 36:2, pages 259-272.
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Chanchal De & Bishwajit Chakraborty. (2010) Preference of echo features for classification of seafloor sediments using neural networks. Marine Geophysical Researches 31:3, pages 215-221.
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AliReza Amiri-Simkooei, Mirjam Snellen & Dick G. Simons. (2009) Riverbed sediment classification using multi-beam echo-sounder backscatter data. The Journal of the Acoustical Society of America 126:4, pages 1724-1738.
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C. De & B. Chakraborty. (2009) Acoustic Characterization of Seafloor Sediment Employing a Hybrid Method of Neural Network Architecture and Fuzzy Algorithm. IEEE Geoscience and Remote Sensing Letters 6:4, pages 743-747.
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Ivor Marsh & Colin Brown. (2009) Neural network classification of multibeam backscatter and bathymetry data from Stanton Bank (Area IV). Applied Acoustics 70:10, pages 1269-1276.
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. (2013) Application of LVQ Neural Network Combined with the Genetic Algorithm in Acoustic Seafloor Classification. Chinese Journal of Geophysics 50:1, pages 291-298.
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