Improved object geo-location in airborne camera images using tight integration of vision and navigation data

Christoph Kessler; Natalie Frietsch; Christian Schlaile; Gert F. Trommer

doi:10.1117/12.829586

24 September 2009 Improved object geo-location in airborne camera images using tight integration of vision and navigation data

Christoph Kessler, Natalie Frietsch, Christian Schlaile, Gert F. Trommer

Author Affiliations +

Proceedings Volume 7480, Unmanned/Unattended Sensors and Sensor Networks VI; 74800Z (2009) https://doi.org/10.1117/12.829586
Event: SPIE Security + Defence, 2009, Berlin, Germany

Abstract

A method for precise geo-location of objects that are observed by an airborne camera is described in this paper. The platform for image acquisition is a micro aerial vehicle (MAV) with an integrated navigation system. From the captured image sequences and MAV navigation data, the three-dimensional positions of objects of interest are retrieved. Different techniques for image feature tracking are compared. Combining measurements from multiple viewpoints in a Bundle Adjustment process yields optimal accuracy of the estimated object positions. The robustness of the optimization is enhanced by tight integration of data from both the vision and the navigation system.

Citation Download Citation

Christoph Kessler, Natalie Frietsch, Christian Schlaile, and Gert F. Trommer "Improved object geo-location in airborne camera images using tight integration of vision and navigation data", Proc. SPIE 7480, Unmanned/Unattended Sensors and Sensor Networks VI, 74800Z (24 September 2009); https://doi.org/10.1117/12.829586

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