Investigating The Potentials Of An Automatic Seafloor Classification From Multibeam Backscatter Data In Fledermaus Geocoder Toolbox (FMGT) | 18485
Journal of Marine Science: Research & Development
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The potentials and limitations of an automated seafloor classification in FMGT were examined with regard to the quality
of processed backscatter data acquired from different survey locations and different multibeam systems. Analysis of the
results suggests that the models implemented in FMGT enhanced the correlation between backscatter return strengths from
different seafloor types and its associated grain sizes, irrespective of the multibeam type or the location the data was acquired.
Results were further improved and verified with available groundtruth information, while numerical extraction and analysis
was achieved with a Matlab program.
Chidi Nwoke is a recent graduate of Geomatics with a specialization in Hydrography CAT A from the Hafen City University, Hamburg, Germany, where in conjuction
with Fugro Survey B.V, he worked extensively on automated seafloor classification from Multibeam backscatter data. He has previous Geomatics engineering
degree from the University of Stuttgart, Germany and University of Lagos, Nigeria. He has worked as a surveyor, data processor, design engineer and as a teaching
assistant in the past 8 years and recently just concluded a project with Hafen City University on shallow water seismic probes and profile analysis. He has published
papers related to his research work on subsurface uplift changes from gravity observations and seafloor classification from backscatter data with the European
Association of Geosciences and Engineers, and with the German Hydrographic Society respectively. He currently resides in Hamburg Germany and does part time
project work related to hydrography.
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