Accession Number:

ADA551594

Title:

Artificial Neural Networks to Extract Optical Properties of Marine Microorganisms from Their Mueller Scattering Matrix

Descriptive Note:

Annual rept.

Corporate Author:

TENNESSEE STATE UNIV NASHVILLE DEPT OF PHYSICS MATHEMATICS AND COMPUTER SCIENCE

Personal Author(s):

• Hull, Patricia G.

Report Date:

1998-01-01

Pagination or Media Count:

8.0

Abstract:

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 feasibility of computer simulated artificial neural network to extract optical properties of marine particulates from polarized light scattering measurements.

Descriptors:

• *MICROORGANISMS
• *NEURAL NETS
• *SEA WATER
• FEASIBILITY STUDIES
• INORGANIC MATERIALS
• LIGHT SCATTERING
• MEASUREMENT
• OCEANS
• OPTICAL PROPERTIES
• PARTICULATES
• POLARIZATION
• PROPAGATION
• SIMULATION

Subject Categories:

• Microbiology
• Physical and Dynamic Oceanography
• Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE