activity
20242026
most citedAstronomical image denoising by self-supervised deep learning and restoration processes

10 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

astro-ph.SR2026

Statistics of Solar Filament Mass based on CHASE Sun-as-a-star Spectroscopic Observations

T. Y. Xie, Z. H. Zhao, X. Cheng +5

Filaments are cool and dense plasmas suspended in the hot corona of the Sun and other stars. Accurately estimating their masses is of great significance for understanding subsequen…

astro-ph.SR2026

A Modern ConvNet for Solar Filament Detection

J. R. Hu, Q. Hao, Z. Zheng +3

Automated solar filament detection using deep learning faces several challenges. Semantic segmentation of solar filaments is a complicated multiscale feature extraction task with l…

astro-ph.IM2025★ 10 cited

Astronomical image denoising by self-supervised deep learning and restoration processes

Tie Liu, Yuhui Quan, Yingna Su +9

Image denoising based on deep learning has witnessed significant advancements in recent years. However, existing deep learning methods lack quantitative control of the deviation or…

astro-ph.SR2024

Developing an Automated Detection, Tracking and Analysis Method for Solar Filaments Observed by CHASE via Machine Learning

Z. Zheng, Q. Hao, Y. Qiu +3

Studies on the dynamics of solar filaments have significant implications for understanding their formation, evolution, and eruption, which are of great importance for space weather…

astro-ph.SR2024

Statistical Analyses of Solar Prominences and Active Region Features in 304 Å Filtergrams detected via Deep Learning

T. Zhang, Q. Hao, P. F. Chen

Solar active regions (ARs) are areas on the Sun with very strong magnetic fields where various activities take place. Prominences are one of the typical solar features in the solar…