A search engine for auroral forms

MT Syrjäsuo, K Kauristie, TI Pulkkinen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

The Finnish Meteorological Institute operates five digital all-sky cameras, which routinely monitor the auroral emissions in Northern Finland, Sweden, and Svalbard; each camera records an image of the fall sky at 20-s interval at a resolution of 512 x 512 pixels. As a result, over 2.5 million images are recorded each winter. We demonstrate a syntactic pattern recognition algorithm for searching auroral arcs in the all-sky images. The algorithm operates in two phases: a quicksearch and a detection phase. The quicksearch is based on simple correlation to a model axe and is utilised to scan through the database to locate potential auroras. In the detection, an auroral image skeleton is determined, and, based on the shape skeleton, auroral forms known as "arcs" are located. A quality estimate is calculated for each arc. Trial runs indicate that the algorithms developed can be implemented in real-time at the auroral all-sky stations. (C) 2001 COSPAR. Published by Elsevier Science Ltd. All rights reserved.

Original languageEnglish
Title of host publicationADVANCES IN AURORAL PHYSICS
EditorsM Malingre
PublisherElsevier Science B.V.
Pages1611-1616
Number of pages6
ISBN (Print)*************
Publication statusPublished - 2001
MoE publication typeA4 Article in a conference publication
EventD3 2 Symposium of COSPAR Scientific Commission D - Warsaw, Poland
Duration: 1 Jul 2000 → …

Publication series

NameADVANCES IN SPACE RESEARCH
PublisherELSEVIER SCIENCE BV
Volume28
ISSN (Print)0273-1177

Conference

ConferenceD3 2 Symposium of COSPAR Scientific Commission D
CountryPoland
CityWarsaw
Period01/07/2000 → …
OtherHeld at the 33rd COSPAR Scientific Assembly

Cite this

Syrjäsuo, MT., Kauristie, K., & Pulkkinen, TI. (2001). A search engine for auroral forms. In M. Malingre (Ed.), ADVANCES IN AURORAL PHYSICS (pp. 1611-1616). (ADVANCES IN SPACE RESEARCH; Vol. 28). Elsevier Science B.V..