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arXiv 1409.4176astro-ph.SR
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局部日震学中的图像压缩

Image compression in local helioseismology

Björn Löptien, Aaron C. Birch, Laurent Gizon, Jesper Schou

摘要:

上下文几个即将到来的日震学空间任务在遥测方面非常有限,必须进行广泛的数据压缩。这就需要开发新的数据压缩方法。目的。我们给出了一个概述的有损数据压缩对当地日震学的影响。我们研究了几种有损压缩方法(量化,JPEG压缩,平滑和二次采样)对磁盘中心超颗粒流的功率谱和时间距离测量的影响。方法.我们采用不同的压缩方法跟踪和重新映射多普勒获得的日震和磁成像仪上的太阳动力学天文台。我们确定的信噪比的旅行时间计算从压缩的数据作为压缩效率的函数。结果我们考虑的基本日震测量对有损数据压缩是非常鲁棒的。即使只使用速度的符号,时间-距离日震学仍然是可能的。我们实现了最好的结果,通过应用JPEG压缩空间二次采样的数据。然而,我们的结论仅适用于盘中心的超颗粒流,并不适用于所有日震学应用。

英文摘要:

Context. Several upcoming helioseismology space missions are very limited in telemetry and will have to perform extensive data compression. This requires the development of new methods of data compression. Aims. We give an overview of the influence of lossy data compression on local helioseismology. We investigate the effects of several lossy compression methods (quantization, JPEG compression, and smoothing and subsampling) on power spectra and time-distance measurements of supergranulation flows at disk center. Methods. We applied different compression methods to tracked and remapped Dopplergrams obtained by the Helioseismic and Magnetic Imager onboard the Solar Dynamics Observatory. We determined the signal-to-noise ratio of the travel times computed from the compressed data as a function of the compression efficiency. Results. The basic helioseismic measurements that we consider are very robust to lossy data compression. Even if only the sign of the velocity is used, time-distance helioseismology is still possible. We achieve the best results by applying JPEG compression on spatially subsampled data. However, our conclusions are only valid for supergranulation flows at disk center and may not be valid for all helioseismology applications.

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