Piston Error Measurement for Segmented Telescopes Based on a Hybrid Artificial Neural Network

To address the difficulty and complexity of detecting piston errors for segmented telescopes, this paper proposes a new piston error measurement method based on a hybrid artificial neural network. First, we use the Resnet network to learn the mapping relationship between the focal plane degradation...

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Detalles Bibliográficos
Autores principales: Yue, Dan, Song, Pengcheng, Wang, Chongshuai, Chuai, Yahui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610778/
https://www.ncbi.nlm.nih.gov/pubmed/37896493
http://dx.doi.org/10.3390/s23208399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610778/
https://www.ncbi.nlm.nih.gov/pubmed/37896493
http://dx.doi.org/10.3390/s23208399

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