Identification of Sunspots on SODISM Full-Disk Solar Images

被引：0
|
作者：
Alasta, Amro F. [1 ]
Algamudi, Abdrazag [1 ]
Qahwaji, Rami [1 ]
Almesrati, Fatma [2 ]
机构：
[1] Univ Bradford, Elect Engn & Comp Sci, Bradford, W Yorkshire, England
[2] Univ Bradford, Informat Technol Management, Bradford, W Yorkshire, England
来源：
2018 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRONICS & COMMUNICATIONS ENGINEERING (ICCECE) | 2018年
关键词：
Sunspots; SODISM; SOHO; Segmentation; PICARD; wavelength 607nm and Filling Factors; RECOGNITION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents a new method that provides the means to detect sunspots on full-disk solar images recorded by the Solar Diameter Imager and Surface Mapper (SODISM) on the PICARD satellite. The method is a totally automated detection process that achieves a sunspot recognition rate of 97.6%. The number of sunspots detected by this method strongly agrees with the NOAA catalogue. The sunspot areas calculated by this method have a 99% correlation with SOHO over the same period, and thus help to calculate the filling factor for wavelength (W.L.) 607nm.
引用
收藏
页码：23 / 28
页数：6
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