Hurlburt Neal, Jaffey Steve
Lockheed Martin Advanced Technology Center, A021S, Building 252, 3251 Hanover Street, Palo Alto, CA 94304 USA.
Earth Sci Inform. 2015;8:959-965. doi: 10.1007/s12145-015-0224-4. Epub 2015 May 12.
We present a method for determining surface flows from solar images based upon optical flow techniques. We apply the method to sets of images obtained by a variety of solar imagers to assess its performance. The opflow3d procedure is shown to extract accurate velocity estimates when provided perfect test data and quickly generates results consistent with completely distinct methods when applied on global scales. We also validate it in detail by comparing it to an established method when applied to high-resolution datasets and find that it provides comparable results without the need to tune, filter or otherwise preprocess the images before its application.
我们提出了一种基于光流技术从太阳图像确定表面流的方法。我们将该方法应用于由各种太阳成像仪获得的图像集,以评估其性能。当提供完美的测试数据时,opflow3d程序显示能提取准确的速度估计值,并且在全球尺度上应用时能快速生成与完全不同的方法一致的结果。当应用于高分辨率数据集时,我们还通过将其与一种既定方法进行比较来详细验证它,发现它无需在应用前对图像进行调整、滤波或以其他方式预处理就能提供可比的结果。