Remote-Sensing Sunspot Images to Obtain the Sunspot Roads
被引:0
作者:
Mirzaee, Hossein
论文数: 0引用数: 0
h-index: 0
机构:
Khorasan Res Ctr Technol Dev, KSTP, Mashhad, IranKhorasan Res Ctr Technol Dev, KSTP, Mashhad, Iran
Mirzaee, Hossein
[1
]
Besharati, Farhad
论文数: 0引用数: 0
h-index: 0
机构:
Khorasan Res Ctr Technol Dev, KSTP, Mashhad, IranKhorasan Res Ctr Technol Dev, KSTP, Mashhad, Iran
Besharati, Farhad
[1
]
机构:
[1] Khorasan Res Ctr Technol Dev, KSTP, Mashhad, Iran
来源:
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 21
|
2007年
/
21卷
关键词:
Quad Tree Decomposition;
Sunspot;
D O I:
暂无
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
A combination of image fusion and quad tree decomposition method is used for detecting the sunspot trajectories in each month and computation of the latitudes of these trajectories in each solar hemisphere. Daily solar images taken with SOHO satellite are fused for each month and the result of fused image is decomposed with Quad Tree decomposition method in order to classifying the sunspot trajectories and then to achieve the precise information about latitudes of sunspot trajectories. Also with fusion we deduce some physical remarkable conclusions about sun magnetic fields behavior. Using quad tree decomposition we give information about the region on sun surface and the space angle that tremendous flares and hot plasma gases permeate interplanetary space and attack to satellites and human technical systems. Here sunspot images in June, July and August 2001 are used for studying and give a method to compute the latitude of sunspot trajectories in each month with sunspot images.