Moment-based method to statistically categorize rock outcrops based on their topographical features

Roger C. Gauss, Joseph M. Fialkowski, David C. Calvo, Richard Menis, Derek R. Olson, Anthony P. Lyons

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Geomorphological formations on the ocean seafloor are spatially complex objects. Rock outcrops in particular can be spatially compact, and highly anisotropic in their large- and small-scale topographic structure, and represent a significant source of clutter for short-range active sonars operating in shallow water. This paper describes a physical moment-based statistical method for categorizing rock outcrops based on their topographical characteristics, in particular isolating its facet-like features. The correspondence of these features to clutter-generating objects is then substantiated for a short-range, high-frequency shallow-water scenario, where the ensonified area is a fraction of outcrop size, via comparisons with high-fidelity acoustic backscattering predictions.

Original languageEnglish (US)
Title of host publicationOCEANS 2015 - MTS/IEEE Washington
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780933957435
StatePublished - Feb 8 2016
EventMTS/IEEE Washington, OCEANS 2015 - Washington, United States
Duration: Oct 19 2015Oct 22 2015

Publication series

NameOCEANS 2015 - MTS/IEEE Washington


OtherMTS/IEEE Washington, OCEANS 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Oceanography
  • Ocean Engineering
  • Instrumentation
  • Acoustics and Ultrasonics


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