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Article

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
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Geosciences 2018, 8(1), 14; https://doi.org/10.3390/geosciences8010014
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)
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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MDPI and ACS Style

Masetti, G.; Mayer, L.A.; Ward, L.G. A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation. Geosciences 2018, 8, 14. https://doi.org/10.3390/geosciences8010014

AMA Style

Masetti G, Mayer LA, Ward LG. A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation. Geosciences. 2018; 8(1):14. https://doi.org/10.3390/geosciences8010014

Chicago/Turabian Style

Masetti, Giuseppe, Larry A. Mayer, and Larry G. Ward. 2018. "A Bathymetry- and Reflectivity-Based Approach for Seafloor Segmentation" Geosciences 8, no. 1: 14. https://doi.org/10.3390/geosciences8010014

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