Information fusion infrastructure for remote-sensing and in-situ sensor data to model people dynamics

The term “real time” regarding airborne remote-sensing data can only seldom be found in recent literature on geospatial research. In the course of the German Aerospace Center (DLR) project VABENE, an airborne monitoring system has been developed which is able to pre-process remotely sensed images in real time by an on-board computing system. Afterwards, the data is directly transferred to a ground station via a microwave data transfer system installed on the aircraft. In contrast to remote sensing, the real-time aspect of other types of geo-sensors has been ubiquitous for several years.

Our study presents a novel concept for an information fusion infrastructure to fuse remote-sensing data and in-situ measurements for the integration in real-time applications via a spatial data infrastructure (SDI). Furthermore, an offline experiment will prove the concept by means of data sets that can already be provided by real-time systems. The study addresses the use case of agent-based modelling of people dynamics for security issues during major events to support avoiding tragedies.

Reference: Hillen, F., Höfle, B., Ehlers, M. & Reinartz, P. (2014): Information Fusion Infrastructure for Remote Sensing and In-Situ Sensor Data to Model People Dynamics. International Journal of Image and Data Fusion. Vol. 5(1), pp. 54-69. DOI: 10.1080/19479832.2013.870934