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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...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li
Format: Artigo
Sprache:Inglês
Veröffentlicht: IOP Publishing 2025-01-01
Schriftenreihe:The Astronomical Journal
Schlagworte:
Online-Zugang:https://doi.org/10.3847/1538-3881/adb842
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