Acquisition and quality of geo-spatial information (ACQUAL)
Developments in sensor and web technology have led to an increase in earth observation data from many sensors. Advanced methodology is needed to make the most out of the data and to integrate the large amounts of data such that they are easily and rapidly available for decision making. The users require high speed image analysis to almost continuously monitor global and local geo-spatial processes. We distinguish handling uncertainty in earth observation data and acquisition of topographic information from imagery and point clouds. Emphasis is on the development and applicability of methodology. The research is conducted in three overlapping fields focusing on geometric modelling, process modelling and semantics.
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| Research theme | Acquisition and quality of geo-spatial information (ACQUAL) |
| Research group leaders | Mathematical and Statistical Methods for Geodata Prof. dr. ir. Alfred Stein Geo-information Extraction with Sensor Systems Prof. dr. ir. George Vosselman |
| Group memberships | The department of Earth Observation Science (EOS) is a member of the Twente Graduate School (TGS). Both prof. Stein and prof. Vosselman are member of the research school SENSE. |
| Keywords | Spatial statistics, photogrammetry, data quality, topographic mapping, airborne and mobile laser scanning |