Day: 28 July 2015
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Editor’s choice – Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics
Our paper “Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics” by Hillen et al. (2014) has been selected by the editor of the International Journal of Image and Data Fusion to be freely accessible for downloading (editor’s choice). The paper presents a novel concept for an information fusion infrastructure to…