Detection and classification of astronomical targets with deep neural networks in wide-field small aperture telescopes P Jia, Q Liu, Y Sun The Astronomical Journal 159 (5), 212, 2020 | 50 | 2020 |
Simulation of atmospheric turbulence phase screen for large telescope and optical interferometer P Jia, D Cai, D Wang, A Basden Monthly Notices of the Royal Astronomical Society 447 (4), 3467-3474, 2015 | 41 | 2015 |
Sampling methods of power spectral density method simulating atmospheric turbulence phase screen DM Cai, K Wang, P Jia, D Wang, JX Liu | 32 | 2014 |
PSF–net: a nonparametric point-spread function model for ground-based optical telescopes P Jia, X Wu, H Yi, B Cai, D Cai The Astronomical Journal 159 (4), 183, 2020 | 21 | 2020 |
Point spread function modelling for wide-field small-aperture telescopes with a denoising autoencoder P Jia, X Li, Z Li, W Wang, D Cai Monthly Notices of the Royal Astronomical Society 493 (1), 651-660, 2020 | 21 | 2020 |
Optical transient object classification in wide-field small aperture telescopes with a neural network P Jia, Y Zhao, G Xue, D Cai The Astronomical Journal 157 (6), 250, 2019 | 20 | 2019 |
Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes J Peng, S Rongyu, W Weinan, C Dongmei, L Huigen monthly notices of the royal astronomical society 470, 1950-1959, 2017 | 20 | 2017 |
Compressive Shack–Hartmann wavefront sensor based on deep neural networks P Jia, M Ma, D Cai, W Wang, J Li, C Li Monthly Notices of the Royal Astronomical Society 503 (3), 3194-3203, 2021 | 19 | 2021 |
Real-time generation of atmospheric turbulence phase screen with non-uniform fast fourier transform P Jia, D Cai, D Wang, A Basden Monthly Notices of the Royal Astronomical Society 450 (1), 38-44, 2015 | 17 | 2015 |
Automated clustering method for point spread function classification W Wang, P Jia, D Cai, H Liu Monthly Notices of the Royal Astronomical Society 478 (4), 5671-5682, 2018 | 16 | 2018 |
Simulation and fabrication of the atmospheric turbulence phase screen based on a fractal model P Jia, S Zhang Research in Astronomy and Astrophysics 12 (5), 584, 2012 | 16 | 2012 |
Representative optical turbulence profiles for ESO Paranal by hierarchical clustering OJD Farley, J Osborn, T Morris, M Sarazin, T Butterley, MJ Townson, P Jia, ... Monthly Notices of the Royal Astronomical Society 481 (3), 4030-4037, 2018 | 14 | 2018 |
Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris R Sun, P Jia Publications of the Astronomical Society of the Pacific 129 (974), 044502, 2017 | 14 | 2017 |
Solar image restoration with the CycleGAN based on multi-fractal properties of texture features P Jia, Y Huang, B Cai, D Cai The Astrophysical Journal Letters 881 (2), L30, 2019 | 13 | 2019 |
A phase distribution design method for phased arrays multibeam independently generating and 3-D scanning D Wang, YL Wu, BQ Jin, P Jia, DM Cai IEEE Photonics Journal 6 (5), 1-11, 2014 | 13 | 2014 |
Ground-layer adaptive-optics system modelling for the ChineseLarge Optical/Infrared Telescope P Jia, A Basden, J Osborn Monthly Notices of the Royal Astronomical Society 479 (1), 829-843, 2018 | 12 | 2018 |
Atmospheric dispersion corrector for the large sky area multi-object fibre spectroscopic telescope D Su, P Jia, G Liu Monthly Notices of the Royal Astronomical Society 419 (4), 3406-3413, 2012 | 12 | 2012 |
A deep learning based astronomical target detection framework for multi-colour photometry sky survey projects P Jia, Y Zheng, M Wang, Z Yang Astronomy and Computing 42, 100687, 2023 | 10 | 2023 |
Parallel blind deconvolution of astronomical images based on the fractal energy ratio of the image and regularization of the point spread function P Jia, D Cai, D Wang Experimental Astronomy 38, 41-63, 2014 | 10 | 2014 |
Digital twin of atmospheric turbulence phase screens based on deep neural networks P Jia, W Wang, R Ning, X Xue Optics Express 30 (12), 21362-21376, 2022 | 9 | 2022 |