Nonuniform Correction of Ground-Based Optical Telescope Image Based on Conditional Generative Adversarial Network

Ground-based telescopes are often affected by vignetting, stray light and detector nonuniformity when acquiring space images. This paper presents a space image nonuniform correction method using the conditional generative adversarial network (CGAN). Firstly, we create a dataset for training by intro...

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Detalles Bibliográficos
Autores principales: Guo, Xiangji, Chen, Tao, Liu, Junchi, Liu, Yuan, An, Qichang, Jiang, Chunfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919127/
https://www.ncbi.nlm.nih.gov/pubmed/36772126
http://dx.doi.org/10.3390/s23031086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919127/
https://www.ncbi.nlm.nih.gov/pubmed/36772126
http://dx.doi.org/10.3390/s23031086

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