基于分量图的多波段天文源探测

2020 IEEE International Conference on Image Processing (ICIP) Pub Date : 2020-10-01 DOI:10.1109/ICIP40778.2020.9191276

T. X. Nguyen, G. Chierchia, Laurent Najman, A. Venhola, C. Haigh, R. Peletier, M. Wilkinson, Hugues Talbot, B. Perret

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引用次数: 2

摘要

组件图为多波段图像处理提供了强大而复杂的结构。提出了一种基于一组新的分量属性的多波段天文源探测框架。我们提出了两个模块来区分节点属于不同的对象和检测部分对象节点。实验证明，该方法提高了在多波段天文数据集上探测微弱物体的能力。

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CGO: Multiband Astronomical Source Detection With Component-Graphs

Component-graphs provide powerful and complex structures for multi-band image processing. We propose a multiband astronomical source detection framework with the component-graphs relying on a new set of component attributes. We propose two modules to differentiate nodes belong to distinct objects and to detect partial object nodes. Experiments demonstrate an improved capacity at detecting faint objects on a multi-band astronomical dataset.

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来源期刊

2020 IEEE International Conference on Image Processing (ICIP)

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