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Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes
Jia, Peng1,2; Sun, Rongyu3; Wang, Weinan1; Cai, Dongmei1; Liu, Huigen4
2017-09-01
Source PublicationMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
ISSN0035-8711
Volume470Issue:2Pages:1950-1959
Abstract

Telescopes with a wide field of view (greater than 1 degrees) and small apertures (less than 2 m) are workhorses for observations such as sky surveys and fast-moving object detection, and play an important role in time-domain astronomy. However, images captured by these telescopes are contaminated by optical system aberrations, atmospheric turbulence, tracking errors and wind shear. To increase the quality of images and maximize their scientific output, we propose a new blind deconvolution algorithm based on statistical properties of the point spread functions (PSFs) of these telescopes. In this new algorithm, we first construct the PSF feature space through principal component analysis, and then classify PSFs from a different position and time using a self-organizing map. According to the classification results, we divide images of the same PSF types and select these PSFs to construct a prior PSF. The prior PSF is then used to restore these images. To investigate the improvement that this algorithm provides for data reduction, we process images of space debris captured by our small-aperture wide-field telescopes. Comparing the reduced results of the original images and the images processed with the standard Richardson-Lucy method, our method shows a promising improvement in astrometry accuracy.

Keywordmethods: data analysis techniques: image processing astrometry
DOI10.1093/mnras/stx1336
WOS KeywordPOINT-SPREAD FUNCTION ; SELF-ORGANIZING MAPS ; ASTRONOMICAL IMAGES ; SPACE DEBRIS ; ADAPTIVE OPTICS ; CLASSIFICATION ; RESTORATION ; STARS ; CATALOG
Indexed BySCI
Language英语
WOS Research AreaAstronomy & Astrophysics
WOS SubjectAstronomy & Astrophysics
WOS IDWOS:000406839900050
PublisherOXFORD UNIV PRESS
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://libir.pmo.ac.cn/handle/332002/22653
Collection中国科学院紫金山天文台
Corresponding AuthorJia, Peng; Sun, Rongyu
Affiliation1.Taiyuan Univ Technol, Coll Phys & Optoelect, Taiyuan 030024, Shanxi, Peoples R China
2.Univ Durham, Dept Phys, South Rd, Durham DH1 3LE, England
3.Chinese Acad Sci, Purple Mt Observ, Nanjing 210008, Peoples R China
4.Nanjing Univ, Sch Astron & Space Sci, Nanjing 210023, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Jia, Peng,Sun, Rongyu,Wang, Weinan,et al. Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes[J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,2017,470(2):1950-1959.
APA Jia, Peng,Sun, Rongyu,Wang, Weinan,Cai, Dongmei,&Liu, Huigen.(2017).Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes.MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY,470(2),1950-1959.
MLA Jia, Peng,et al."Blind deconvolution with principal components analysis for wide-field and small-aperture telescopes".MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY 470.2(2017):1950-1959.
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