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首页> 外文期刊>WSEAS Transactions on Signal Processing >Quad Tree Decomposition of Fused Image of Sunspots for Classifying The Trajectories
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Quad Tree Decomposition of Fused Image of Sunspots for Classifying The Trajectories

机译:太阳黑子融合图像的四叉树分解用于轨迹分类

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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.
机译:结合使用图像融合和四叉树分解方法来检测每个月的黑子轨迹,并计算每个太阳半球中这些轨迹的纬度。将每月用SOHO卫星拍摄的日照图像进行融合,并通过四叉树分解法对融合后的图像进行分解,以对黑子的轨迹进行分类,从而获得关于黑子的轨迹纬度的精确信息。同样,通过融合,我们得出了有关太阳磁场行为的一些物理显着结论。使用四叉树分解,我们可以提供有关太阳表面区域以及巨大耀斑和炽热等离子体气体渗透到行星际空间并攻击卫星和人类技术系统的空间角度的信息。这里使用2001年6月,7月和8月的黑子图像进行研究,并给出了一种利用黑子图像计算每个月黑子轨迹纬度的方法。

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