Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle

Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight. Due to advances in deep learning techniques, various approaches have been studied to classify space targets by using micro-Doppler signatures....

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Detalles Bibliográficos
Autores principales: Lee, Jae-In, Kim, Nammon, Min, Sawon, Kim, Jeongwoo, Jeong, Dae-Kyo, Seo, Dong-Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877989/
https://www.ncbi.nlm.nih.gov/pubmed/35214555
http://dx.doi.org/10.3390/s22041653

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8877989/
https://www.ncbi.nlm.nih.gov/pubmed/35214555
http://dx.doi.org/10.3390/s22041653

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