Remote sensing sensors installed on aircrafts or satellites enable information collection for various traffic applications over large areas. Synthetic aperture radar (SAR) systems seem to be very promising due to their all-weather capability. The authors approach the traffic congestion detection problem with a two-channel SAR airborne sensor flying in along-track (ATI) the motorway by combining various techniques: look processing, channel balancing, coherent difference, e.g. displaced phase center array (DPCA), image processing and incorporation of a priori information such as traffic flow model and road network. The potential of the proposed method is demonstrated with airborne E-SAR data collected during the flight campaign over a highway near Munich. The experimental set-up is explained, data features are illustrated, and some drawbacks are identified. A short comparison between airborne systems and satellite-based systems is given, showing that the satellite system should ideally consist of two antennas about 100 m apart - i.e. two satellites.


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    Titel :

    Detection of traffic congestion in airborne SAR imagery


    Beteiligte:


    Erscheinungsdatum :

    2007


    Format / Umfang :

    5 Seiten, 2 Bilder, 1 Tabelle, 13 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Datenträger


    Sprache :

    Englisch




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