ML Anthology

Detection and Velocity Estimation of Moving Vehicles in High-Resolution Spaceborne Synthetic Aperture Radar Data

Stefan Hinz, Diana Weihing, Steffen Suchandt, Richard Bamler
CVPRW 2008 pp. 1-6
doi:10.1109/CVPRW.2008.4563055 /cvprw/2008/hinz2008cvprw-detection/

Abstract

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.

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Cite

Text

Hinz et al. "Detection and Velocity Estimation of Moving Vehicles in High-Resolution Spaceborne Synthetic Aperture Radar Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563055

Markdown

[Hinz et al. "Detection and Velocity Estimation of Moving Vehicles in High-Resolution Spaceborne Synthetic Aperture Radar Data." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/hinz2008cvprw-detection/) doi:10.1109/CVPRW.2008.4563055

BibTeX

@inproceedings{hinz2008cvprw-detection,
  title     = {{Detection and Velocity Estimation of Moving Vehicles in High-Resolution Spaceborne Synthetic Aperture Radar Data}},
  author    = {Hinz, Stefan and Weihing, Diana and Suchandt, Steffen and Bamler, Richard},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563055},
  url       = {https://mlanthology.org/cvprw/2008/hinz2008cvprw-detection/}
}