Merging datasets for photometric study
Résumé
We have developed tools to study the photometry of Europa using a Bayesian approach. We merged datasets from New Horizons' LORRI and Voyager's ISS cameras to maximize coverage. We encountered issues of absolute calibration and compatibility of the data and we propose here a way to efficiently merge datasets from different cameras. We also propose a way to estimate correction coefficients for the absolute calibration of each individual image at the same time as the photometric behavior. We use here the Hapke model and realize a Bayesian inversion of the Hapke parameters on 20 areas of interest on Jupiter's moon Europa as well as correction coefficients for a collection of 57 images from LORRI and ISS.
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Belgacem_MergingDatasetsPhotometric_EPSC_2019.pdf (222.01 Ko)
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