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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Detection and velocity estimation of moving vehicles in high-resolution spaceborne synthetic aperture radar data
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Stefan Hinz, Remote Sensing Technology, TU Muenchen, Germany
Diana Weihing, Remote Sensing Technology, TU Muenchen, Germany
Steffen Suchandt, Remote Sensing Technology, TU Muenchen, Germany
Richard Bamler, Remote Sensing Technology, TU Muenchen, Germany
Automatic estimation of traffic parameters has evolved to an important topic of research. Current and upcoming SAR satellite missions offer new possibilities for traffic monitoring and control from space as an alternative to conventional traffic data acquisition. In this paper a detection approach is presented which evaluates simultaneously the effects moving objects suffer from in the SAR focusing process. Information about the measured signal and the expected signal are utilized in the detection framework. Analyses of the proposed technique are done with real spaceborne SAR data.
Citation:
Stefan Hinz, Diana Weihing, Steffen Suchandt, Richard Bamler, "Detection and velocity estimation of moving vehicles in high-resolution spaceborne synthetic aperture radar data," cvprw, pp.1-6, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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