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A Data-Driven Approach for Mitigating Dark Current Noise and Bad Pixels in Complementary Metal Oxide Semiconductor Cameras for Space-based Telescopes
In this paper, we introduce a data-driven framework for mitigating dark current noise and bad pixels for CMOS cameras.
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework
Time domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions.
Smart obervation method with wide field small aperture telescopes for real time transient detection
The ARGUS uses a deep learning based astronomical detection algorithm implemented in embedded devices in each WFSATs to detect astronomical targets.
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
To increase the generalization ability of our framework, we use both simulated and real observation images to train the neural network.
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