Error measures for template-fit geolocation based on light
By P. Ekstrom. 2007
58 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Oceanography
View Paper: https://www.semanticscholar.org/paper/f38cff20517ce37c05ee8b1faec358fe1c41e469
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- C. Hewson
- S. Hahn
- D. W. Winkler
- Fraenzi Korner-Nievergelt
- Willem Bouten
- M. W. Kristensen
- M. Verhoeven
- R. Klaassen
In Oceanography
- C. Hewson
- S. Hahn
- D. W. Winkler
- Fraenzi Korner-Nievergelt
- Willem Bouten
- M. W. Kristensen
- M. Verhoeven
- R. Klaassen
Citations in the corpus
- Comparing inferences of solar geolocation data against high-precision GPS data: annual movements of a double-tagged black-tailed godwit (2016, methodology): “They also differ considerably from each other in a number of important respects (see Rakhimberdiev et al. 2015 for a more complete review): for example, GeoLight uses a more traditional ‘threshold method’ (Hill and Braun 2001), while FLightR uses a ‘template fit’ (Ekstrom 2004, 2007).”
- Geolocation by light: accuracy and precision affected by environmental factors (2012, methodology): “The ‘template fit method’ uses the shape of the light transition during sunset and sunrise periods to estimate positions (Ekstrom 2004, 2007).”