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Proceedings Paper

Improvements in object recognition by radar and ladar data fusion
Author(s): Karlheinz Bers; Thorsten Brehm; Helmut Essen; Klaus J. Jaeger
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Paper Abstract

Remote sensing using unmanned aerial vehicles is gaining more and more importance during peace keeping missions for military reconnaissance. Those applications nowadays have to take into account that under civil war conditions a mix-up of sensors within sensitive urban terrain may be useful. These tasks typically have to be fulfilled also under adverse weather conditions, which mainly can be served by airborne imaging radar sensors. Advanced radar sensors are able to deliver highly resolved images with considerable information content, as polarimetry, 3d-features and robustness against changing environmental and operational conditions. Extending the knowledge base for an object by fusion of radar data with Ladar-information or IR, a safe detection and even identification of objects becomes feasible allowing an optimized signal processing by distributing the assignments between the combined sensors. The contribution describes the different sensors and gives an overview over the image data for the sample scenes. The methods of object discrimination are discussed and representative results are shown.

Paper Details

Date Published: 10 November 2004
PDF: 6 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.579553
Show Author Affiliations
Karlheinz Bers, FGAN-Research Institute for Optronics and Pattern Recognition (Germany)
Thorsten Brehm, FGAN-Research Institute for High-Frequency Physics and Radar Techniques (Germany)
Helmut Essen, FGAN-Research Institute for High-Frequency Physics and Radar Techniques (Germany)
Klaus J. Jaeger, FGAN-Research Institute for Optronics and Pattern Recognition (Germany)


Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

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