• DocumentCode
    2206360
  • Title

    Identification and characterization of railway trains in high resolution TerraSAR-X images

  • Author

    Schwarz, Gottfried ; Datcu, Mihai

  • Author_Institution
    Remote Sensing Technol. Inst., DLR Oberpfaffenhofen, Germany
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    1793
  • Lastpage
    1796
  • Abstract
    The recognition and analysis of moving targets in SAR images is a well-known topic in remote sensing. The public availability of high resolution SAR satellite images opened new perspectives for space-based small object recognition: traffic monitoring from space has matured into an established technique where the motion characteristics of ships and cars can be extracted routinely. A particular case of traffic monitoring is the search for moving trains in SAR images; here one can locate moving trains, determine their velocity, and identify the type and number of wagons. In the following, we concentrate on features to be extracted from TerraSAR-X images containing commuter trains in the area of Munich, Germany.
  • Keywords
    feature extraction; geophysical image processing; image motion analysis; image resolution; object recognition; radar imaging; rail traffic; railway rolling stock; remote sensing; spaceborne radar; Germany; Munich; SAR image; car; commuter train; feature extraction; high resolution SAR satellite image; high resolution TerraSAR-X image; motion characteristics; moving target analysis; moving target recognition; moving train location; railway train characterization; railway train identification; remote sensing; ship; space-based small object recognition; traffic monitoring; train velocity; wagon number; wagon type; Feature extraction; Image resolution; Instruments; Radar tracking; Rail transportation; Reflection; Synthetic aperture radar; SAR images; TerraSAR-X; feature extraction; object recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351165
  • Filename
    6351165