An Image Quality Evaluation and Masking Algorithm Based On Pre-trained Deep Neural Networks

arXiv:2405.03408v1 Announce Type: cross
Abstract: With the growing amount of astronomical data, there is an increasing need for automated data processing pipelines, which can extract scientific information from observation data without human interventions. A critical aspect of these pipelines is the image quality evaluation and masking algorithm, which evaluates image qualities based on various factors such as cloud coverage, sky brightness, scattering light from the optical system, point spread function size and shape, and read-out noise. Occasionally, the algorithm requires …

abstract algorithm arxiv astro-ph.im astro-ph.sr automated cs.cv data data processing data processing pipelines evaluation extract human image information masking networks neural networks observation pipelines processing quality scientific type