Data processing pipeline for multiple-exposure photo-plate digital archives

被引:1
|
作者
Jia, Peng [1 ,2 ,3 ]
Yang, Zhimin [1 ]
Shang, Zhengjun [4 ]
Yu, Yong [4 ]
Zhao, Jianhai [4 ]
机构
[1] Taiyuan Univ Technol, Coll Elect Informat & Opt Engn, 79 Yingzexi Dajie, Taiyuan 030024, Shanxi, Peoples R China
[2] Univ Durham, Dept Phys, Stockton Rd, Durham DH1 3LE, Durham, England
[3] Peng Cheng Lab, Shenzhen 518066, Guangdong, Peoples R China
[4] Shanghai Astron Observ, 80 Nandan Rd, Shanghai 200030, Peoples R China
基金
中国国家自然科学基金;
关键词
astronomical databases: miscellaneous; techniques: image processing; techniques: photometric; TARGET DETECTION FRAMEWORK; ASTRONOMICAL PLATES; DIGITIZATION; CLASSIFICATION; TELESCOPES; REDUCTION; OBJECT;
D O I
10.1093/pasj/psad038
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Photo-plates are an invaluable historical legacy that have been used for over a hundred years to capture images of celestial objects. By digitizing these photo-plates and processing the images with digital image processing methods, scientists can study celestial objects that exhibit temporal variations. Multiple-exposure photo-plates are a unique type of observation data that can capture images of the same sky at different observation times in a single photo-plate. Such photo-plates can be used to discover flares or moving targets with rapid variations, but they are difficult to process automatically due to their complex observation strategies. This paper proposes a pipeline based on classical data-processing algorithms and machine-learning algorithms to detect flares or moving targets in multiple-exposure photo-plate images automatically. The pipeline was used to process several digitized multiple-exposure photo-plate images from the China Astronomical Plates Data, and preliminary results indicate that the pipeline is effective. In the future, we plan to use our method to discover more celestial objects with temporal variations from photo-plate digital archives.
引用
收藏
页码:811 / 824
页数:14
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