Shallow Ocean Bottom BRDF Prediction, Modeling, and Inversion via Simulation with Surface/Volume Data Derived from X-Ray Tomography

Abstract

We are investigating the measurable features in the BRDF (Bi-directional Reflectance Distribution Function) of benthic surfaces made of natural sediments and how that is influenced by the morphology of the sediment grain composition. If the measured BRDF shows features which can be numerically derived from the physical properties such as size and shape of the sediment material, then we should be able to invert BRDF data to obtain significant characterizations of the natural sediment properties. Extend current numerical BRDF ray tracing techniques to deal with natural sediments via input of sediment grain data from x-ray CT measurements. Discover if the BRDF data can be inverted to give information about grain size, morphology and interstitial spacing.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA522154

Entities

People

  • G. C. Boynton
  • K. J. Voss

Organizations

  • University of Miami

Tags

DTIC Thesaurus Topics

  • Distribution Functions
  • Grain Size
  • Inversion
  • Materials
  • Measurement
  • Physical Properties
  • Physics
  • Ray Tracing
  • Seabed
  • Sediments
  • Simulations
  • Three Dimensional
  • Tomography
  • Universities
  • X Rays
  • X-Ray Computed Tomography

Readers

  • Coastal and Marine Engineering/Sediment Transport/Hydraulic Engineering
  • Medical Imaging.
  • Spectroscopy.

Technology Areas

  • Space