73 citations · 75 across the 5 of their papers we have counts for
5 papers
A Data-Driven Approach for Mitigating Dark Current Noise and Bad Pixels in Complementary Metal Oxide Semiconductor Cameras for Space-based Telescopes
Peng Jia, Chao Lv, Yushan Li +3
In recent years, there has been a gradual increase in the performance of Complementary Metal Oxide Semiconductor (CMOS) cameras. These cameras have gained popularity as a viable al…
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning
Jin Ding, Jie-Chao Zhao, Yong-Zhi Sun +3
Deep convolutional neural network (DCNN for short) models are vulnerable to examples with small perturbations. Adversarial training (AT for short) is a widely used approach to enha…
PNet -- A Deep Learning Based Photometry and Astrometry Bayesian Framework
Rui Sun, Peng Jia, Yongyang Sun +3
Time domain astronomy has emerged as a vibrant research field in recent years, focusing on celestial objects that exhibit variable magnitudes or positions. Given the urgency of con…
Smart obervation method with wide field small aperture telescopes for real time transient detection
Peng Jia, Qiang Liu, Yongyang Sun +3
Wide field small aperture telescopes (WFSATs) are commonly used for fast sky survey. Telescope arrays composed by several WFSATs are capable to scan sky several times per night. Hu…
Detection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes
Peng Jia, Qiang Liu, Yongyang Sun
Wide field small aperture telescopes are widely used for optical transient observations. Detection and classification of astronomical targets in observed images are the most import…