Resolution Exploration using Two-Dimensional Deep Learning Architectures

Title

Resolution Exploration using Two-Dimensional Deep Learning Architectures

Authors

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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

K. Asari Vijayan

Primary Advisor's Department

Electrical and Computer Engineering

Keywords

Stander Symposium poster

Comments

Presenter: Brandon Montel Payne

Resolution Exploration using Two-Dimensional Deep Learning Architectures

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