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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2007
Accession Number
ADA573284

Entities

People

  • G. C. Boynton
  • K. J. Voss

Organizations

  • University of Miami

Tags

DTIC Thesaurus Topics

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

Readers

  • Allergy and Immunology.
  • Calculus or Mathematical Analysis
  • Coastal Oceanography