TY - GEN
T1 - Spaceborne traffic monitoring with dual channel synthetic aperture radar - Theory and experiments
AU - Hinz, Stefan
AU - Meyer, Franz
AU - Laika, Andreas
AU - Bamler, Richard
N1 - Publisher Copyright:
© 2005 IEEE Computer Society. All rights reserved.
PY - 2005
Y1 - 2005
N2 - This paper revises the theoretical background for upcoming dual-channel Radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the assumptions incorporated in the focusing process will generally appear both displaced and blurred in the azimuth direction. To study the impact of these (and related) distortions in focused SAR images, the analytic relations between an arbitrarily moving point scatterer and its conjugate in the SAR image have been reviewed and adapted to dual-channel satellite specifications. To be able to monitor traffic under these boundary conditions in real-life situations, a specific detection scheme is proposed. This scheme integrates complementary detection and velocity estimation algorithms with knowledge derived from external sources as, e.g., road databases.
AB - This paper revises the theoretical background for upcoming dual-channel Radar satellite missions to monitor traffic from space. As it is well-known, an object moving with a velocity deviating from the assumptions incorporated in the focusing process will generally appear both displaced and blurred in the azimuth direction. To study the impact of these (and related) distortions in focused SAR images, the analytic relations between an arbitrarily moving point scatterer and its conjugate in the SAR image have been reviewed and adapted to dual-channel satellite specifications. To be able to monitor traffic under these boundary conditions in real-life situations, a specific detection scheme is proposed. This scheme integrates complementary detection and velocity estimation algorithms with knowledge derived from external sources as, e.g., road databases.
UR - http://www.scopus.com/inward/record.url?scp=85114749080&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2005.529
DO - 10.1109/CVPR.2005.529
M3 - Conference contribution
AN - SCOPUS:85114749080
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
BT - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
PB - IEEE Computer Society
T2 - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005 - Workshops
Y2 - 21 September 2005 through 23 September 2005
ER -