Image Metrics for Deconvolution of Satellites in Low Earth Orbit

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dc.contributor.authorHickman S
dc.contributor.authorMuruganandan V
dc.contributor.authorClare, Richard
dc.contributor.authorWeddell, Stephen
dc.contributor.editorLensen A
dc.date.accessioned2021-04-29T21:14:35Z
dc.date.available2021-04-29T21:14:35Z
dc.date.issued2021en
dc.date.updated2020-12-06T03:12:04Z
dc.description.abstractSatellites and space debris clutter low Earth orbital paths. This causes concerns for future launches as the clutter increases the probability of in-orbit collisions. Therefore, it is important to track and characterise these objects. However, the Earth’s atmosphere distorts images collected from ground-based telescopes. The blurring effects of the atmosphere can be reduced through post-processing deconvolution to improve the images of satellites and space debris. Yet, a metric is needed to quantify the quality of the images and deconvolution of these extended objects at finite distances; as well as to characterise the structure and brightness for un-symmetrical satellites in low Earth orbit. This paper uses images collected of the International Space Station to investigate the use of the structural similarity metric and the regional properties as potential satellite imaging metrics. Our results show that the similarity metric is useful to characterise the orientation of the satellite relative to the observer, while the regional properties serve to quantify the image quality and improvement due to deconvolution.en
dc.identifier.citationHickman S, Muruganandan V, Weddell S, Clare R (2021). Image Metrics for Deconvolution of Satellites in Low Earth Orbit. Wellington, New Zealand: Image Conference New Zealand (IVCNZ). 25/11/2020-27/11/2020. IEEE Xplore.en
dc.identifier.doi10.1109/IVCNZ51579.2020.9290535
dc.identifier.urihttps://hdl.handle.net/10092/101850
dc.language.isoen
dc.rights© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.rights.urihttp://hdl.handle.net/10092/17651en
dc.subject.anzsrcField of Research::02 - Physical Sciences::0201 - Astronomical and Space Sciences::020102 - Astronomical and Space Instrumentationen
dc.subject.anzsrcField of Research::08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080106 - Image Processingen
dc.titleImage Metrics for Deconvolution of Satellites in Low Earth Orbiten
dc.typeConference Contributions - Publisheden
uc.collegeFaculty of Engineering
uc.departmentElectrical and Computer Engineering
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