Conference Paper

Real-time road traffic monitoring using a fast a priori knowledge based SAR-GMTI algorithm

German Aerosp. Center (DLR), Microwaves & Radar Inst., Wessling, Germany
DOI: 10.1109/IGARSS.2010.5653262 Conference: Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Source: DBLP

ABSTRACT Radar systems operating on high altitude platforms can provide traffic information over wide areas, independent of sunlight illumination and weather conditions. In the paper, a novel a priori knowledge based ground moving target indication (GMTI) and parameter estimation algorithm applicable on single- as well as on multi-channel synthetic aperture radar (SAR) data is presented. Only the intersection points of the moving vehicle signals with the a priori known road axes, which are mapped into the range-compressed data domain, are evaluated. The algorithm needs low computational load and is hence well suited for real-time traffic monitoring applications.

0 Bookmarks
 · 
92 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: During the last decade, synthetic aperture radar (SAR) became an indispensable source of information in Earth observation. This has been possible mainly due to the current trend toward higher spatial resolution and novel imaging modes. A major driver for this development has been and still is the airborne SAR technology, which is usually ahead of the capabilities of spaceborne sensors by several years. Today's airborne sensors are capable of delivering high-quality SAR data with decimeter resolution and allow the development of novel approaches in data analysis and information extraction from SAR. In this paper, a review about the abilities and needs of today's very high-resolution airborne SAR sensors is given, based on and summarizing the longtime experience of the German Aerospace Center (DLR) with airborne SAR technology and its applications. A description of the specific requirements of high-resolution airborne data processing is presented, followed by an extensive overview of emerging applications of high-resolution SAR. In many cases, information extraction from high-resolution airborne SAR imagery has achieved a mature level, turning SAR technology more and more into an operational tool. Such abilities, which are today mostly limited to airborne SAR, might become typical in the next generation of spaceborne SAR missions.
    Proceedings of the IEEE 01/2012; 101(3):759-783. · 6.91 Impact Factor
  • [Show abstract] [Hide abstract]
    ABSTRACT: We present an extended architecture for adaptive traffic signal control system with online learning feature. The presented architecture is modified to incorporate the advantages of cloud computing such that the resultant architecture has high accuracy, online learning capability, scalability, robustness, and real time performance.
    8th International Conference on Information, Communications, and Signal Processing (ICICS 2011); 01/2011
  • [Show abstract] [Hide abstract]
    ABSTRACT: In this paper an extension of our “Fast GMTI Algorithm for Traffic Monitoring Based on A Priori Knowledge” [1,2] to an arbitrary number of M receiving (RX) channels is presented. This is done by incorporating Post-Doppler space-time adaptive processing into the processing chain. In contrast to our original dual-channel algorithm this additionally allows for robust estimation of the direction-of-arrival (DOA) angles of the detected signals. As a consequence false detections can be recognized and discarded. In the paper the processing chain is explained and performance estimation results for DLR's multi-channel airborne F-SAR system are presented and discussed.
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International; 01/2012

Full-text (5 Sources)

View
141 Downloads
Available from
Jun 2, 2014