Harnessing ontology and machine learning for RSO classification

Classification is an important part of resident space objects (RSOs) identification, which is a main focus of space situational awareness. Owing to the absence of some features caused by the limited and uncertain observations, RSO classification remains a difficult task. In this paper, an ontology f...

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Detalles Bibliográficos
Autores principales: Liu, Bin, Yao, Li, Han, Dapeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037103/
https://www.ncbi.nlm.nih.gov/pubmed/27730017
http://dx.doi.org/10.1186/s40064-016-3258-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037103/
https://www.ncbi.nlm.nih.gov/pubmed/27730017
http://dx.doi.org/10.1186/s40064-016-3258-2

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