A-priori Information Driven Detection of Moving Objects for Traffic Monitoring by SAR
Meyer, Franz Josef and Hinz, Stefan and Laika, Andreas and Bamler, Richard (2005) A-priori Information Driven Detection of Moving Objects for Traffic Monitoring by SAR. In: Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 05, pp. 2932-2936. IGARSS 05, Seoul, 25.07 - 29.07.05, Seoul.
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This paper reviews 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.
|Document Type:||Conference or Workshop Item (Paper)|
|Title:||A-priori Information Driven Detection of Moving Objects for Traffic Monitoring by SAR|
|Journal or Publication Title:||Proceedings of the International Geoscience and Remote Sensing Symposium IGARSS 05|
|Page Range:||pp. 2932-2936|
|Keywords:||SAR, Traffic Monitoring, Two-Channel-SAR, TerraSAR-X,|
|Event Title:||IGARSS 05, Seoul, 25.07 - 29.07.05|
|Event Type:||international Conference|
|Organizer:||IEEE Geoscience and Remote Sensing Society|
|HGF - Research field:||Aeronautics, Space and Transport|
|HGF - Program:||Space|
|HGF - Program Themes:||W - no assignement|
|DLR - Research area:||Space|
|DLR - Program:||W - no assignement|
|DLR - Research theme (Project):||W -- no assignement (old)|
|Institutes and Institutions:||Remote Sensing Technology Institute|
|Deposited By:||Cornelia Roehl|
|Deposited On:||02 Dec 2005|
|Last Modified:||14 Jan 2010 12:48|
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