Stellar object image recovery using neural network atmospheric modelling

Author

Walter F. Smith

Date of Award

5-1992

Degree Type

Thesis

Degree Name

Master of Science

Major

Physics

Major Professor

William E. Blass

Committee Members

Stephen J. Daunt, Tom Handler

Abstract

This paper describes the use of a back-propagation neural network to model a turbulent atmosphere. The modeling of the atmosphere allows the near real time resolution of a stellar object's image from its respective speckle images. These speckle images are produced when the light from a stellar object passes through a diffusing medium such as our atmosphere. If this modeling is eventually successful it will provide the astronomer the capability of near real time stellar object identification at low cost and with fairly simple technology.

Recommended Citation

Smith, Walter F., "Stellar object image recovery using neural network atmospheric modelling. " Master's Thesis, University of Tennessee, 1992.
https://trace.tennessee.edu/utk_gradthes/12283