On the Suitability of Synthetic Imagery for Training Atmospheric Visibility Estimators
Abstract
Exploration of the creation and use of synthetic images of fog in the use of training machine learning models to act as atmospheric visibility estimators
Status
Graduate
Department
Electrical Engineering and Computer Science
College
Russ College of Engineering and Technology
Campus
Athens
Faculty Mentor
Mourning, Chad
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
COinS
On the Suitability of Synthetic Imagery for Training Atmospheric Visibility Estimators
Exploration of the creation and use of synthetic images of fog in the use of training machine learning models to act as atmospheric visibility estimators