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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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| Yayımlandı: | Springerplus |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Springer International Publishing
2016
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5037103/ https://ncbi.nlm.nih.gov/pubmed/27730017 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-3258-2 |
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