Session
Technical Poster Session IV
Location
Utah State University, Logan, UT
Abstract
The deployment of artificial neural networks (ANNs) on small satellites will improve space situational awareness (SSA) where scarce radio resources limits the interactions between space-born and ground-based systems. The application of ANNs in space is stymied by lack of curated datasets. This project addresses an ongoing problem of small spacecraft detection and identification. This paper will present the problem and the activities the team has taken to advance this field.
Paper for Challenges and Opportunities for CubeSat Detection for Space Situational Awareness using a CNN
Challenges and Opportunities for CubeSat Detection for Space Situational Awareness using a CNN
Utah State University, Logan, UT
The deployment of artificial neural networks (ANNs) on small satellites will improve space situational awareness (SSA) where scarce radio resources limits the interactions between space-born and ground-based systems. The application of ANNs in space is stymied by lack of curated datasets. This project addresses an ongoing problem of small spacecraft detection and identification. This paper will present the problem and the activities the team has taken to advance this field.
