Resolution Exploration using Two-Dimensional Deep Learning Architectures
Presenter(s)
Brandon Montel Payne
Files
Description
The main objective of this research project is image resolution exploration for employing two-dimensional deep learning architectures and algorithms. This is to aid in military surveillance in either drones or ground robots that are used for collecting information to detect threat objects. The goal of the proposed research is to make the autonomous system be able to recognize certain objects in the field by using 2D machine learning resources, and to determine the resolution requirement in the imagery.
Publication Date
4-24-2019
Project Designation
Graduate Research
Primary Advisor
Vijayan K. Asari
Primary Advisor's Department
Electrical and Computer Engineering
Keywords
Stander Symposium project
Recommended Citation
"Resolution Exploration using Two-Dimensional Deep Learning Architectures" (2019). Stander Symposium Projects. 1683.
https://ecommons.udayton.edu/stander_posters/1683