Saltar al contenido
República del Perú · Observatorio de la producción científica universitaria
OApol.org Observatorio de Inteligencia Científica Universitaria del Perú
OApol.org
Inicio Universidades Publicaciones Investigadores
Repositorios
Tesis y trabajos académicosRevistas
Indicadores
Ranking trimestralRanking por carreraObjetivos de Desarrollo SostenibleReporte OCDERed neuronal 3D
Acerca
MetodologíaPrivacidad

Exploring Many-Core Processors for Onboard Image Processing in Nanosatellites: A Proposal

Roman-Gonzalez A.; Vargas-Cuentas N.I. · Proceedings of the International Astronautical Congress, IAC (2025) · DOI: 10.52202/083084-0002

Resumen

The deployment of nanosatellites into orbit has witnessed a significant surge, primarily attributed to their cost-effectiveness, leveraging off-the-shelf space components, and their instrumental role in educational endeavours to nurture aerospace professionals. Given their potential, nanosatellites stand poised to contribute significantly to Earth observation, offering invaluable insights through satellite imagery for informed decision-making. To harness this potential, the proposal advocates developing advanced image processing algorithms tailored for nanosatellites, particularly leveraging many-core processors. The computationally intensive nature of image processing necessitates robust algorithms capable of handling vast amounts of data efficiently, making multi-core processors an ideal choice for enhancing computational capabilities. The envisioned outcome of this endeavour is the development of high-performance algorithms primed for deployment in future CubeSats. To achieve this, collaboration through cooperative agreements is essential, facilitating the validation of these algorithms in forthcoming satellite missions.

Instituciones: Universidad Nacional Tecnológica de Lima Sur; Universidad de Ciencias y Humanidades