海量天文观测图像的质量评价对后续的科学研究有着重要的意义.针对HQ全日面太阳图像提出了一种利用临边昏暗曲线的峰度来评价其数据质量的方法.在详细介绍评价指标的计算方式的基础上,通过主观评价和客观评价的比较,证实了观测条件的变化以及视场遮挡对临边昏暗曲线峰度的影响,并对GONG(Global Oscillation Network Group)计划中近20000幅Ha全日面太阳图像进行了客观质量分析,利用这一评价方法从中筛选出842幅质量欠佳的图像.实验证明这个方法可以有效地评价全日面图像的质量.这种方法的不足也在文章的最后进行了仔细的讨论.
The Ha full disk observation is very important in solar physics. There are many telescopes doing this observation regularly and producing massive images. However, the qualities of these images are different due to the change of observation condition, such as seeing, cloud and so on. In order to evaluate these images automatically, a new method of objective image quality assessment for Ha full disk solar image is proposed in this paper. The kurtosis of the limb darkening curve is applied to be the index of image quality assessment. Nearly 20000 Ha full disk solar images from the GONG (Global Oscillation Network Group) project are processed, and 842 poor-quality images are detected automatically. Some typical cases are explained in detail. We conclude that this assessment is successful and effective. At the end of this paper, the insufficiency of this method has also been carefully discussed.