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Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris
Sun, Rongyu1; Jia, Peng2
2017-04-01
Source PublicationPUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
ISSN0004-6280
Volume129Issue:974Pages:10
Abstract

Space debris is a special kind of fast-moving, near-Earth objects, and it is also considered to be an interesting topic in time-domain astronomy. Optical survey is the main technique for observing space debris, which contributes much to the studies of space environment. However, due to the motion of registered objects, image degradation is critical in optical space debris observations, as it affects the efficiency of data reduction and lowers the precision of astrometry. Therefore, the image restoration in the form of deconvolution can be applied to improve the data quality and reduction accuracy. To promote the image processing and optimize the reduction, the image degradation across the field of view is modeled statistically with principal component analysis and the efficient mean point-spread function (PSF) is derived from raw images, which is further used in the image restoration. To test the efficiency and reliability, trial observations were made for both low-Earth orbital and high-Earth orbital objects. The positions of all targets were measured using our novel approach and compared with the reference positions. The performance of image restoration employing our estimated PSF was compared with several competitive approaches. The proposed image restoration outperformed the others so that the influence of image degradation was distinctly reduced, which resulted in a higher signal-to-noise ratio and more precise astrometric measurements.

Keywordmethods: data analysis techniques: image processing astrometry
DOI10.1088/1538-3873/aa611a
WOS KeywordPRINCIPAL COMPONENT ANALYSIS ; POINT-SPREAD FUNCTION ; ASTRONOMICAL IMAGES ; SOURCE EXTRACTION ; OPTICAL SURVEYS ; DECONVOLUTION ; PRECISION ; NOISE ; ORBIT ; EVOLUTION
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000398667100001
PublisherIOP PUBLISHING LTD
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/23139
Collection中国科学院紫金山天文台
Corresponding AuthorSun, Rongyu
Affiliation1.Chinese Acad Sci, Key Lab Space Object & Debris Observat, Purple Mt Observ, Nanjing 210008, Jiangsu, Peoples R China
2.Taiyuan Univ Technol, Coll Phys & Optoelect, Taiyuan 030024, Peoples R China
Recommended Citation
GB/T 7714
Sun, Rongyu,Jia, Peng. Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2017,129(974):10.
APA Sun, Rongyu,&Jia, Peng.(2017).Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,129(974),10.
MLA Sun, Rongyu,et al."Image Restoration Based on Statistic PSF Modeling for Improving the Astrometry of Space Debris".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 129.974(2017):10.
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