Cargando…
Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM)
Light curves are plots of brightness measured over time. In the field of Space Situational Awareness (SSA), light curves of Resident Space Objects (RSOs) can be utilized to infer information about an RSO such as the type of object, its attitude, and its shape. Light curves of RSOs in geostationary o...
Autores principales: | Qashoa, Randa, Lee, Regina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384663/ https://www.ncbi.nlm.nih.gov/pubmed/37514833 http://dx.doi.org/10.3390/s23146539 |
Ejemplares similares
-
Simulation of RSO Images for Space Situation Awareness (SSA) Using Parallel Processing
por: Clark, Ryan, et al.
Publicado: (2021) -
Harnessing ontology and machine learning for RSO classification
por: Liu, Bin, et al.
Publicado: (2016) -
Space tourism: adventures in Earth orbit and beyond
por: Pelt, Michel van
Publicado: (2005) -
An Algorithm for Time Prediction Signal Interference Detection Based on the LSTM-SVM Model
por: Xiao, Ningbo, et al.
Publicado: (2022) -
Development of a resilience scale for oldest-old age (RSO)
por: Akatsuka, Eiki, et al.
Publicado: (2021)