Automated removal of stripe interference in full-disk solar images
Automated removal of stripe interference in full-disk solar images作者机构:College of ScienceChina Three Gorges University College of Computer and Information TechnologyChina Three Gorges University National Astronomical ObservatoriesChinese Academy of Sciences Key Laboratory of Solar ActivityNational Astronomical ObservatoriesChinese Academy of Sciences
出 版 物:《Research in Astronomy and Astrophysics》 (天文和天体物理学研究(英文版))
年 卷 期:2016年第16卷第6期
页 面:13-20页
核心收录:
学科分类:07[理学] 070401[理学-天体物理] 0704[理学-天文学]
基 金:supported in part by the National Natural Science Fund Committee and the Chinese Academy of Sciences astronomical union funds (Grant U1331113) the Special Program for Basic Research of the Ministry of Science and Technology,China (Grant 2014FY120300)
主 题:methods: data analysis techniques: image processing Sun: general
摘 要:The quality of full-disk solar Hα images is significantly degraded by stripe interference. In this paper, to improve the analysis of morphological evolution, a robust solution for stripe interference removal in a partial full-disk solar Hα image is proposed. The full-disk solar image is decomposed into a set of support value images on different scales by convolving the image with a sequence of multiscale support value filters, which are calculated from the mapped least-squares support vector machines (LS-SVMs). To match the resolution of the support value images, a scale-adaptive LS-SVM regression model is used to remove stripe interference from the support value images. We have demonstrated the advantages of our method on solar Hα images taken in 2001-2002 at the Huairou Solar Observing Station. Our experimental results show that our method can remove the stripe interference well in solar Hα images and the restored image can be used in morphology researches.