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: | 21 Sep 2017 03:15 |
| Identification Number: | |
| URI: | http://eprints.lancs.ac.uk/id/eprint/20192 |
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