An Analytical Model of Light Scattering from Marine Micro-Organisms and Detritus.

Abstract

We made considerable progress toward developing a practical model of polarized light scattering from non-spherical particles. Mueller matrix elements for single particles and collections of randomly oriented spheres, helices, cubes, ellipsoids and cylinders calculated with the C-D approximation were compared with experimental measurements and with Mie calculations. Mie calculations were used to train an artificial neural network that predicts the size parameter of a scatterer based on its S34 matrix element. The success of this simple network is an important first step in our goal of predicting the optical properties, size parameter, and shape of the particles that make up the scattering medium from experimental measurements of light scattering.

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Document Details

Document Type
Technical Report
Publication Date
May 07, 1996
Accession Number
ADA308331

Entities

People

  • Patricia G. Hull

Organizations

  • Tennessee State University

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Electromagnetic Scattering
  • Ellipsoids
  • Light Scattering
  • Measurement
  • Neural Networks
  • Optical Properties
  • Particles
  • Scattering

Fields of Study

  • Physics

Readers

  • Aerosol Science/Aerosol Physics
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Neural Networks