Image Desaturation for SDO/AIA Using Mixed Convolution Network  

作　　者：Xuexin Yu Long Xu Zhixiang Ren Dong Zhao Wenqing Sun 

机构地区：[1]National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China [2]University of Chinese Academy of Sciences,Beijing 100049,China [3]Peng Cheng National Laboratory,Shenzhen 518000,China [4]National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China [5]State Key Laboratory of Virtual Reality Technology and Systems,School of Computer Science and Engineering,Beihang University,Beijing 100190,China

出　　处：《Research in Astronomy and Astrophysics》2022年第6期91-100,共10页天文和天体物理学研究（英文版）

基　　金：supported by the Peng Cheng Laboratory Cloud Brain(No.PCL2021A13);the National Natural Science Foundation of China(NSFC)under 11790305,11973058 and 12103064。

摘　　要：The Atmospheric Imaging Assembly(AIA)onboard the Solar Dynamics Observatory(SDO)provides full-disk solar images with high temporal cadence and spatial resolution over seven extreme ultraviolet(EUV)wave bands.However,as violent solar flares happen,images captured in EUV wave bands may have saturation in active regions,resulting in signal loss.In this paper,we propose a deep learning model to restore the lost signal in saturated regions by referring to both unsaturated/normal regions within a solar image and statistical probability model of massive normal solar images.The proposed model,namely mixed convolution network(MCNet),is established over conditional generative adversarial network(GAN)and the combination of partial convolution(PC)and validness migratable convolution(VMC).These two convolutions were originally proposed for image inpainting.In addition,they are implemented only on unsaturated/valid pixels,followed by certain compensation to compensate the deviation of PC/VMC relative to normal convolution.Experimental results demonstrate that the proposed MCNet achieves favorable desaturated results for solar images and outperforms the state-of-the-art methods both quantitatively and qualitatively.

关 键 词：Sun:activity SUN atmosphere-Sun CHROMOSPHERE 

分 类 号：P182.9[天文地球—天文学]