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Original Articles

Processing Multibeam Backscatter Data

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Pages 251-258 | Published online: 19 Aug 2006

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Read on this site (2)

Sumanta Dandapath, Andrew Menezes, Bishwajit Chakraborty, John Kurian & Koppella N. Prudhvi Raju. (2018) Seafloor Geomorphology and Processes on the Western Continental Margin of India based on Multibeam Acoustic Backscatter Data Analysis. Marine Geodesy 41:2, pages 177-200.
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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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Articles from other publishers (5)

Mingwei Wang, Ziyin Wu, Jim Best, Fanlin Yang, Xiaohu Li, Dineng Zhao & Jieqiong Zhou. (2021) Using multibeam backscatter strength to analyze the distribution of manganese nodules: A case study of seamounts in the Western Pacific Ocean. Applied Acoustics 173, pages 107729.
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B. Higgs, J.J. Mountjoy, G.J. Crutchley, J. Townend, Y. Ladroit, J. Greinert & C. McGovern. (2019) Seep-bubble characteristics and gas flow rates from a shallow-water, high-density seep field on the shelf-to-slope transition of the Hikurangi subduction margin. Marine Geology 417, pages 105985.
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Giuseppe Masetti, Larry Mayer & Larry Ward. (2018) A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation. Geosciences 8:1, pages 14.
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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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