Photometry-free sky area visibility estimation method for All-sky Camera 

Xie, H. W., Zhi, H., Kang, Z., et al. 2025. Photometry-free sky area visibility estimation method for All-sky Camera. Astronomical Techniques and Instruments, 2(1): 52−64. https://doi.org/10.61977/ati2024056.

Haiwen Xie1, 2, Hui Zhi3, Zhe Kang1, , Shiyu Deng1, 3, Bingli Niu4, Lei Wang2, 3, Xiaojun Jiang2, 3 

  1. Changchun Observatory, National Astronomical Observatories, Chinese Academy of Sciences, Changchun 130117, China
  2. University of Chinese Academy of Sciences, Beijing 100049, China
  3. CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China
  4. Nanjing Institute of Astronomical Optics & Technology, Chinese Academy of Sciences, Nanjing 210042, China

Abstract

Observatories typically deploy all-sky cameras for monitoring cloud cover and weather conditions. However, many of these cameras lack scientific-grade sensors, resulting in limited photometric precision, which makes calculating the sky area visibility distribution via extinction measurement challenging. To address this issue, we propose the Photometry-Free Sky Area Visibility Estimation (PFSAVE) method. This method uses the standard magnitude of the faintest star observed within a given sky area to estimate visibility. By employing a per-transformation re-fitting optimization strategy, we achieve a high-precision coordinate transformation model with an accuracy of 0.42 pixels. Using the results of , we propose screening criteria to reduce false detections. HEALPix segmentation is also introduced to achieve high spatial resolution. Comprehensive analysis based on real all-sky images demonstrates that our method exhibits higher accuracy than the extinction-based method. Our method supports both manual and robotic dynamic scheduling, especially under partially cloudy conditions.

Keywords

All-sky cameras, Astronomy image processing, Ground-based astronomy, Calibration, Computational methods, Observational astronomy

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