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Identification of clouds and aurorae in optical data images

Seviour, Rebecca and Kosch, M. and Honary, F. (2003) Identification of clouds and aurorae in optical data images. New Journal of Physics, 5. 6.1-6.7. ISSN 1367-2630

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    Abstract

    In this paper we present an automatic image recognition technique used to identify clouds and aurorae in digital images, taken with a CCD all-sky imager. The image recognition algorithm uses image segmentation to generate a binary block object image. Object analysis is then performed on the binary block image, the results of which are used to assess whether clouds, aurorae and stars are present in the original image. The need for such an algorithm arises because the optical study of particle precipitation into the Earth's atmosphere by the Ionosphere and Radio Propagation Group at Lancaster generates vast data-sets, over 25 000 images/year, making manual classification of all the images impractical.

    Item Type: Article
    Journal or Publication Title: New Journal of Physics
    Additional Information: The final, definitive version of this article has been published in the Journal, New Journal of Physics, 5, pp 6.1-6.7 2003, © 2003 Institute of Physics.
    Uncontrolled Keywords: all-sky camera DCS-publications-id ; art-378 ; DCS-publications-credits ; dasi ; iono-fa ; scasi ; DCS-publications-personnel-id ; 50 ; 7 ; 5
    Subjects: T Technology > TA Engineering (General). Civil engineering (General)
    Departments: Faculty of Science and Technology > Physics
    Faculty of Science and Technology > School of Computing & Communications
    Faculty of Science and Technology > Engineering
    ID Code: 20192
    Deposited By: ep_ss_importer
    Deposited On: 17 Dec 2008 16:26
    Refereed?: Yes
    Published?: Published
    Last Modified: 09 Apr 2014 20:24
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/20192

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