首页|Resolution Enhancement of SOHO/MDI Magnetograms
Resolution Enhancement of SOHO/MDI Magnetograms
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
万方数据
维普
Research on the solar magnetic field and its effects on solar dynamo mechanisms and space weather events has benefited from the continual improvements in instrument resolution and measurement frequency.The augmentation and assimilation of historical observational data timelines also play a significant role in understanding the pattems of solar magnetic field variation.Within the realm of astronomical data processing,super-resolution(SR)reconstruction refers to the process of using a substantial corpus of training data to learn the nonlinear mapping between low-resolution(LR)and high-resolution(HR)images,thereby achieving higher-resolution astronomical images.This paper is an application study in high-dimensional nonlinear regression.Deep learning models were employed to perform SR modeling on SOHO/MDI magnetograms and SDO/HMI magnetograms,thus reliably achieving resolution enhancement of full-disk SOHO/MDI magnetograms and enhancing the image resolution to obtain more detailed information.For this study,a data set comprising 9717 pairs of data from 2010 April to 2011 February was used as the training set,1332 pairs from 2011 March were used as the validation set and 1034 pairs from 2011 April were used as the test set.After data preprocessing,we randomly cropped 128 x 128 sub-images as the LR cases from the full-disk MDI magnetograms,and the corresponding 512 × 512 sub-images as HR ones from the HMI full-disk magnetograms for model training.The tests conducted have shown that the study successfully produced reliable 4x SR reconstruction of full-disk MDI magnetograms.The MESR model's results(0.911)were highly correlated with the target HMI magnetographs as indicated by the correlation coefficient values.Furthermore,the method achieved the best PSNR,SSIM,MAE and RMSE values,indicating that the MESR model can effectively reconstruct magnetograms.
magnetic fieldstechniques:image processingvirtual observatory toolsSun:magnetic fields
Ying Qin、Kai-Fan Ji、Hui Liu、Xiao-Guang Yu
展开 >
Yunnan Observatories,Chinese Academy of Sciences,Kunming 650011,China
University of Chinese Academy of Sciences,Beijing 100049,China
Yunnan Key Laboratory of Solar Physics and Space Science,Kunming 650216,China
Key Laboratory for the Structure and Evolution of Celestial Objects,Chinese Academy of Sciences,Kunming 650216,China
展开 >
National Natural Science Foundation of China(NSFC)Yunnan Key Laboratory of Solar Physics and Space Science
万方数据
维普
