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Geosciences 2018, 8(1), 14;

A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation

Center for Coastal and Ocean Mapping/National Oceanic and Atmospheric Administration (NOAA) Joint Hydrographic Center, University of New Hampshire, Durham, NH 03824, USA
Author to whom correspondence should be addressed.
Received: 13 November 2017 / Revised: 29 December 2017 / Accepted: 5 January 2018 / Published: 8 January 2018
(This article belongs to the Special Issue Marine Geomorphometry)
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A robust and flexible technique to segment seafloor acoustic mapping data by analyzing co-located bathymetric digital elevation models and acoustic backscatter mosaics is presented. The algorithm first uses principles of topographic openness, pattern recognition, and texture classification to identify geomorphic elements of the seafloor or “area kernels”, and then derives the final seafloor segmentation by merging or splitting the kernels based on principles of similarity and multi-modality. The output is a collection of homogeneous, non-overlapping seafloor segments of consistent morphology and acoustic backscatter texture. Each labeled segment is enriched by a list of derived, physically-meaningful attributes that can be used for subsequent task-specific analysis. View Full-Text
Keywords: Acoustic applications; object segmentation; seafloor; underwater acoustics Acoustic applications; object segmentation; seafloor; underwater acoustics

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Masetti, G.; Mayer, L.A.; Ward, L.G. A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation. Geosciences 2018, 8, 14.

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