A large-scale solar dynamics observatory image dataset for computer vision applications

被引:17
|
作者
Kucuk, Ahmet [1 ]
Banda, Juan M. [1 ]
Angryk, Rafal A. [1 ]
机构
[1] Georgia State Univ, Dept Comp Sci, Atlanta, GA 30302 USA
关键词
RETRIEVAL;
D O I
10.1038/sdata.2017.96
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The National Aeronautics Space Agency (NASA) Solar Dynamics Observatory (SDO) mission has given us unprecedented insight into the Sun's activity. By capturing approximately 70,000 images a day, this mission has created one of the richest and biggest repositories of solar image data available to mankind. With such massive amounts of information, researchers have been able to produce great advances in detecting solar events. In this resource, we compile SDO solar data into a single repository in order to provide the computer vision community with a standardized and curated large-scale dataset of several hundred thousand solar events found on high resolution solar images. This publicly available resource, along with the generation source code, will accelerate computer vision research on NASA's solar image data by reducing the amount of time spent performing data acquisition and curation from the multiple sources we have compiled. By improving the quality of the data with thorough curation, we anticipate a wider adoption and interest from the computer vision to the solar physics community.
引用
收藏
页数:9
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