Experimental Measurements of the Mueller Scattering Matrix for Marine Micro-Organisms

Abstract

LONG-TERM GOAL. The long term goals of this project are to understand and quantify light scattering from ensembles of both spherical and non-spherical objects in ocean water, to characterize the effect of ensembles of micro-organisms and inorganic particulates on the propagation of polarized light through sea water, and to assess the importance of scattering to underwater imaging techniques and irradiance calculations. SCIENTIFIC OBJECTIVES. The scientific objectives are to develop a numerical or analytical model that predicts angle-dependent scattering of polarized light from ensembles of non-spherical marine organisms, detritus, and inorganic particulates, and to verify and examine the validity and range of applications of the model by comparison with exact calculations and/or experimental results as appropriate. Specific tasks toward these objectives are: (1) to make experimental measurements, in the laboratory, of light scattering from samples of micro-organisms and inorganic particles in ocean water, (2) to develop an artificial neural network to recognize features in the Mueller matrix elements associated with the optical properties and irregular shape of ocean scatterers, and (3) to continue to refine and enhance the coupled-dipole approximation method.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 1997
Accession Number
ADA636697

Entities

People

  • Patricia G. Hull

Organizations

  • Tennessee State University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Aquatic Organisms
  • Computer Programming
  • Computer Programs
  • Computers
  • Experimental Data
  • Gaussian Distributions
  • Imaging Techniques
  • Inverse Problems
  • Light Scattering
  • Measurement
  • Neural Networks
  • Optical Properties
  • Orientation (Direction)
  • Particles
  • Refractive Index
  • Scattering
  • Sea Water

Fields of Study

  • Physics

Readers

  • Acoustical Oceanography.
  • Aerosol Science/Aerosol Physics
  • Computational Modeling and Simulation

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks