OBELIX, environment observation with complex imagery
The overall objective of the team is the processing of complex images for environmental purposes. In such a context, available data form a massive amount of multidimensional (multi- or hyperspectral) noisy observations with high spatio-temporal variability. While understanding these data stays very challenging, environmental systems always come with some additional knowledge or models which are worth being exploited to achieve environment observation.
Finally, whatever the task involved (e.g., analysis, filtering, classification, clustering, mining, modelling, …), specific attention has to be paid to the way results are provided to the end-user, helping them to benefit from their added value.