We applied Deep Learning algorithm known as Generative Adversarial Networks (GANs) to perform solar image-to-image translation. That is, from Solar Dynamics Observatory (SDO)/Helioseismic and Magnetic Imager(HMI) line of sight magnetogram images to SDO/Atmospheric Imaging Assembly(AIA) 0304-{\AA} images. The Ultraviolet(UV)/Extreme Ultraviolet(EUV) observations like the SDO/AIA0304-{\AA} images were only made available to scientists in the late 1990s even though the magenetic field observations like the SDO/HMI have been available since the 1970s. Therefore by leveraging Deep Learning algorithms like GANs we can give scientists access to complete datasets for analysis. For generating high resolution solar images we use the Pix2PixHD and Pix2Pix algorithms. The Pix2PixHD algorithm was specifically designed for high resolution image generation tasks, and the Pix2Pix algorithm is by far the most widely used image to image translation algorithm. For training and testing we used the data for the year 2012, 2013 and 2014. The results show that our deep learning models are capable of generating high resolution(1024 x 1024 pixels) AIA0304 images from HMI magnetograms. Specifically, the pixel-to-pixel Pearson Correlation Coefficient of the images generated by Pix2PixHD and original images is as high as 0.99. The number is 0.962 if Pix2Pix is used to generate images. The results we get for our Pix2PixHD model is better than the results obtained by previous works done by others to generate AIA0304 images. Thus, we can use these models to generate AIA0304 images when the AIA0304 data is not available which can be used for understanding space weather and giving researchers the capability to predict solar events such as Solar Flares and Coronal Mass Ejections. As far as we know, our work is the first attempt to leverage Pix2PixHD algorithm for SDO/HMI to SDO/AIA0304 image-to-image translation.
翻译:我们应用了叫做 GenerationAdversarial 网络的深学习算法( GAN) 来进行太阳图像到图像翻译。 也就是说, 从太阳动力观测站( SDO) / Hliosetismic 和磁成像仪( HMI) 的视觉磁图图像直线到 SDO/ Atmmage 成像( AIA) 03 03- AA} 图像。 Urtravilet (UV) /Extreme UliversialP04 (EUV) 的观测, 如 SDO/ AI03- A} 等, 仅在1990年代末才提供给科学家使用。 即使SDO/ HMI 的成像仪现场观测自1970年代以来一直可用。 因此, 利用深学习算算法( 像GANs) 来进行分析。 为了生成高分辨率图像, 我们使用Pix2PixHD 和 Pix2PixHAL 算法的原始数据算算算算算法, 我们使用2013年的Pix2PixPix2 算算算算算算算算算算算算算的10。