26 citations · 66 across the 4 of their papers we have counts for
11 papers
Compressive Shack-Hartmann Wavefront Sensor based on Deep Neural Networks
Peng Jia, Mingyang Ma, Dongmei Cai +3
The Shack-Hartmann wavefront sensor is widely used to measure aberrations induced by atmospheric turbulence in adaptive optics systems. However if there exists strong atmospheric t…
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…
Data--driven Image Restoration with Option--driven Learning for Big and Small Astronomical Image Datasets
Peng Jia, Ruiyu Ning, Ruiqi Sun +2
Image restoration methods are commonly used to improve the quality of astronomical images. In recent years, developments of deep neural networks and increments of the number of ast…
Point Spread Function Estimation for Wide Field Small Aperture Telescopes with Deep Neural Networks and Calibration Data
Peng Jia, Xuebo Wu, Zhengyang Li +4
The point spread function (PSF) reflects states of a telescope and plays an important role in development of data processing methods, such as PSF based astrometry, photometry and i…
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…
PSF--NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes
Peng Jia, Xuebo Wu, Yi Huang +2
Ground based optical telescopes are seriously affected by atmospheric turbulence induced aberrations. Understanding properties of these aberrations is important both for instrument…