Automatic Sunspots Detection on SODISM Solar Images

被引：0
|
作者：
Alasta, Amro F. [1 ]
Algamudi, Abdulrazag [1 ]
Qahwaji, Rami [1 ]
Ipson, Stanley [1 ]
Nagem, Tarek A. [1 ]
机构：
[1] Univ Bradford, Sch Elect Engn & Comp Sci, Bradford, W Yorkshire, England
来源：
2017 SEVENTH INTERNATIONAL CONFERENCE ON INNOVATIVE COMPUTING TECHNOLOGY (INTECH 2017) | 2017年
关键词：
Sunspots; SODISM; Active region; Segmentio; Filling factors; RECOGNITION;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The surface of the sun often shows visible sunspots which are located in magnetically active regions of the Sun, and whose number is an indicator of the Sun's magnetic activity. The detection and classification of sunspots are useful techniques in the monitoring and prediction of solar activity. The automated detection of sunspots from digital images is complicated by their irregularities in shape and variable contrast and intensity compared with their surrounding area. The main aim of this paper is to detect sunspots using images from the Solar Diameter Imager and Surface Mapper (SODISM) on the PICARD satellite and calculate their filling factors. A comparison over time with sunspot numbers obtained using images from the SOHO satellite is also presented.
引用
收藏
页码：115 / 119
页数：5
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