no code implementations • 20 Nov 2020 • Peng Jia, Mingyang Ma, Dongmei Cai, Weihua Wang, Juanjuan Li, Can Li
However if there exists strong atmospheric turbulence or the brightness of guide stars is low, the accuracy of wavefront measurements will be affected.
no code implementations • 7 Nov 2020 • Peng Jia, Ruiyu Ning, Ruiqi Sun, Xiaoshan Yang, Dongmei Cai
In recent years, developments of deep neural networks and increments of the number of astronomical images have evoked a lot of data--driven image restoration methods.
no code implementations • 2 Mar 2020 • Peng Jia, Xuebo Wu, Yi Huang, Bojun Cai, Dongmei Cai
Assuming point spread functions induced by the atmospheric turbulence with the same profile belong to the same manifold space, we propose a non-parametric point spread function -- PSF-NET.
no code implementations • 31 Jan 2020 • Peng Jia, Xiyu Li, Zhengyang Li, Weinan Wang, Dongmei Cai
For wide field small aperture telescopes, the point spread function is hard to model, because it is affected by many different effects and has strong temporal and spatial variations.
no code implementations • 29 Jul 2019 • Peng Jia, Yi Huang, Bojun Cai, Dongmei Cai
Texture is one of the most obvious characteristics in solar images and it is normally described by texture features.
1 code implementation • 24 May 2019 • Yi Huang, Peng Jia, Dongmei Cai, Bojun Cai
Next-generation ground-based solar observations require good image quality metrics for post-facto processing techniques.
no code implementations • 29 Apr 2019 • Peng Jia, Yifei Zhao, Gang Xue, Dongmei Cai
In this paper, we propose two transient classification methods based on neural networks.