Automatic georeferencing of astronaut auroral photography
| Autor: | Alexander Gerst, Andrew Walsh, Matthew Taylor, Maik Riechert |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences business.industry lcsh:QC801-809 Photography Geology Processing 010502 geochemistry & geophysics Oceanography 01 natural sciences Field (computer science) Data set On board lcsh:Geophysics. Cosmic physics Geography Georeference International Space Station Computer vision Artificial intelligence business computer 0105 earth and related environmental sciences Remote sensing computer.programming_language |
| Zdroj: | Geoscientific Instrumentation, Methods and Data Systems, Vol 5, Iss 2, Pp 289-304 (2016) |
| ISSN: | 2193-0864 |
| DOI: | 10.5194/gi-5-289-2016 |
| Popis: | Astronauts on board the International Space Station (ISS) have taken thousands of high-resolution colour photographs of the aurora, which could be made useful for research if their pointing information could be reconstructed. We describe a method to do this using the star field in the images, and how the reconstructed pointing can then be used to georeference the images to a similar level of accuracy in existing all-sky camera images. We have used this method to make georeferenced auroral images taken from the ISS available and here describe the resulting data set, processing software, and how to access them. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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