利用基于云的容器化应用在天文图像中探测小行星的NEARBY平台

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP) Pub Date : 2018-09-01 DOI:10.1109/ICCP.2018.8516578

V. Bâcu, A. Sabou, T. Stefanut, D. Gorgan, Ovidiu Vaduvescu

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引用次数: 5

摘要

对近地天体和近地小行星的持续监测和测量是必不可少的，因为这类天体对我们星球的未来构成了威胁。我们需要更多的计算资源和先进的算法来处理数码相机性能的指数级增长，并能够处理(近乎实时的)来自大型调查的数据。本文提出了一个名为NEARBY的软件平台，该平台支持从天文图像中自动检测恒星之间的移动源(小行星)。检测过程基于经典的“闪烁”检测，之后，系统支持视觉分析技术来验证移动源，并辅以静态和动态演示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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NEARBY Platform for Detecting Asteroids in Astronomical Images Using Cloud-based Containerized Applications

The continuing monitoring and surveying of the nearby space to detect Near Earth Objects (NEOs) and Near Earth Asteroids (NEAs) are essential because of the threats that this kind of objects impose on the future of our planet. We need more computational resources and advanced algorithms to deal with the exponential growth of the digital cameras’ performances and to be able to process (in near real-time) data coming from large surveys. This paper presents a software platform called NEARBY that supports automated detection of moving sources (asteroids) among stars from astronomical images. The detection procedure is based on the classic “blink” detection and, after that, the system supports visual analysis techniques to validate the moving sources, assisted by static and dynamical presentations.

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来源期刊

2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)

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