@article{2533,
  author = {Amro F. Alasta, Abdulrazag Algamudi, RamiQahwaji, Stan Ipson},
  title = {Identification of Sunspots on SODISM Full-Disk Solar Images},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2018},
  volume = {9},
  number = {3},
  doi = {https://doi.org/10.6025/jmpt/2018/9/3/102-112},
  url = {http://www.dline.info/jmpt/fulltext/v9n3/jmptv9n3_3.pdf},
  abstract = {A new method is proposed to detect sunspots on full-disk solar images recorded by Solar Diameter Imager and Surface Mapper (SODISM) on the PICARD satellite. The procedure of the method is totally automated to detect sunspots and compression with NOAA catalogue shows sunspot recognition rate is 97.8%. The number of sunspots detected by methods shows acquit good agreement with NOAA catalogue Furthermore, calculate the filling factor for W.L. 607nm and compared with SOHO satellite has been presented. The sunspot areas calculated by this method have a high correlation with SOHO in
the same period it is 99%.},
}