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太阳表面速度场研究
首发时间：2022-05-23
摘要：太阳表面速度场是研究太阳活动的重要途径，通过分析太阳表面速度场可以预测出太阳表面即将发生的太阳活动。目前针对太阳观测的研究多数从太阳光谱出发，但太阳光谱数据存在分辨率低、不稳定、容易发生畸变等问题导致实用性不强。随着观测技术的发展，太阳图像已能呈现高分辨率且具有可连续观测特征，逐渐成为了分析太阳活动的重要数据。因此，本文从图像处理的角度出发，分别运用hs光流法和基于金字塔分层的lk光流法对太阳图像进行处理以计算太阳表面速度场，并利用图像结构相似度指数来验证这两种方法的有效性。实验结果表明，运用hs光流法和基于金字塔分层的lk光流法都能计算出太阳表面速度场，且基于金字塔分层的lk光流法计算结果更精确。
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research on the velocity field of the sun\'s surface
abstract：the solar surface velocity field is an important way to study solar activity. by analyzing the solar surface velocity field, the upcoming solar activity on the solar surface can be predicted. at present, most of the research on solar observation starts from the solar spectrum, but the solar spectrum data has problems such as low resolution, instability, and easy distortion, which lead to poor practicability. with the development of observation technology, solar images have been able to present high-resolution and continuous observation features, and have gradually become important data for analyzing solar activity. therefore, from the perspective of image processing, this paper uses the hs optical flow method and the lk optical flow method based on pyramid layering to process the solar image to calculate the solar surface velocity field, and uses the image structure similarity index to verify the two methods. effectiveness of the method. the experimental results show that both the hs optical flow method and the lk optical flow method based on the pyramid layer can calculate the solar surface velocity field, and the calculation result of the lk optical flow method based on the pyramid layer is more accurate.
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