Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era

The rapid advancement of image analysis methods in time-domain astronomy, particularly those leveraging artificial intelligence (AI) algorithms, has highlighted efficient image preprocessing as a critical bottleneck affecting algorithm performance. Image preprocessing, which involves standardizing i...

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Detalhes bibliográficos

Principais autores:	Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IOP Publishing 2025-01-01
coleção:	The Astronomical Journal
Assuntos:	GPU computing Time domain astronomy Astronomical techniques
Acesso em linha:	https://doi.org/10.3847/1538-3881/adb842
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