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20112021
most citedDetection and Classification of Astronomical Targets with Deep Neural Networks in Wide Field Small Aperture Telescopes

73 citations · 261 across the 13 of their papers we have counts for

collaborators

13 papers

astro-ph.IM2021

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…

astro-ph.IM2020★ 26 cited

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…

astro-ph.IM2020

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…

astro-ph.IM2020★ 16 cited

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…

astro-ph.IM2020★ 15 cited

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…

astro-ph.IM2020★ 73 cited

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…

astro-ph.IM2020★ 29 cited

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…

astro-ph.IM2020★ 23 cited

Point Spread Function Modelling for Wide Field Small Aperture Telescopes with a Denoising Autoencoder

Peng Jia, Xiyu Li, Zhengyang Li +2

The point spread function reflects the state of an optical telescope and it is important for data post-processing methods design. For wide field small aperture telescopes, the poin…

astro-ph.IM2019★ 22 cited

Solar Image Restoration with the Cycle-GAN Based on Multi-Fractal Properties of Texture Features

Peng Jia, Yi Huang, Bojun Cai +1

Texture is one of the most obvious characteristics in solar images and it is normally described by texture features. Because textures from solar images of the same wavelength are s…

astro-ph.IM2019★ 13 cited

Perception Evaluation -- A new solar image quality metric based on the multi-fractal property of texture features

Yi Huang, Peng Jia, Dongmei Cai +1

Next-generation ground-based solar observations require good image quality metrics for post-facto processing techniques. Based on the assumption that texture features in solar imag…

astro-ph.IM2019★ 24 cited

Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks

Peng Jia, Yifei Zhao, Gang Xue +1

Wide field small aperture telescopes are working horses for fast sky surveying. Transient discovery is one of their main tasks. Classification of candidate transient images between…

astro-ph.IM2018★ 8 cited

Representative optical turbulence profiles for ESO Paranal by hierarchical clustering

O. J. D. Farley, J. Osborn, T. Morris +5

Knowledge of the optical turbulence profile is important in adaptive optics (AO) systems, particularly tomographic AO systems such as those to be employed by the next generation of…

astro-ph.IM2011★ 12 cited

The atmospheric dispersion corrector for the Large Sky Area Multi--object Fibre Spectroscopic Telescope (LAMOST)

Ding-qiang Su, Peng Jia, Genrong Liu

The Large Sky Area Multi--object Fibre Spectroscopic Telescope (LAMOST) is the largest (aperture 4 m) wide field of view (FOV) telescope and is equipped with the largest amount (40…