• DocumentCode
    513519
  • Title

    Parameter-free clustering: Application to fawns detection

  • Author

    Cerra, Daniele ; Israel, Martin ; Datcu, Mihai

  • Author_Institution
    German Aerosp. Center, Remote Sensing Technol. Inst., Wessling, Germany
  • Volume
    3
  • fYear
    2009
  • fDate
    12-17 July 2009
  • Abstract
    Many fawns and other wild animals are killed by mowing machines every year. To prevent them from being killed or injured, a sensor system is being developed to detect the fawns hidden in meadows under mowing. Beside a microwave radar system, two cameras (thermal infrared and RGB) take a picture at the mower´s current location. This contribution focuses on the compression-based algorithm that will be adopted to detect the locations containing a fawn hiding in the grass: such approach, being parameter-free, allows performing a fully unsupervised clustering by exploiting the intrinsic properties of data compression to estimate the amount of shared information between two images.
  • Keywords
    geophysical image processing; image recognition; image segmentation; infrared imaging; pattern clustering; remote sensing by radar; RGB camera; compression-based algorithm; fawns detection; image analysis; microwave radar system; mowing machines; parameter-free clustering; pattern recognition; sensor system; thermal infrared camera; wild animals; Animals; Cameras; Clustering algorithms; Data compression; Image analysis; Image coding; Infrared detectors; Infrared image sensors; Radar detection; Sensor systems; Parameter free; image analysis; pattern recognition; similarity measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
  • Conference_Location
    Cape Town
  • Print_ISBN
    978-1-4244-3394-0
  • Electronic_ISBN
    978-1-4244-3395-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2009.5418293
  • Filename
    5418293