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Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide-field Small Aperture Telescopes

  • Authors: Peng Jia, Qiang Liu, and Yongyang Sun

2020 The Astronomical Journal 159 212.

  • Provider: AAS Journals

Caption: Figure 8.

This figure shows how the recall rate and the precision rate will change for astronomical images with different S/N. The number of astronomical sources in each magnitude is around 2000–3000. From this figure, we find that the classic framework (labeled with SExtractor) has a slightly better performance for astronomical sources with higher S/N, while for astronomical sources with low S/N, our framework (labeled with the detector) is better.

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