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2015 IEEE GRSS data fusion contest: Extremely high resolution LiDAR and optical data [Technical committees]

  • Gabriele Moser
  • , Devis Tuia
  • , Michal Shimoni
    • University of Genoa
    • University of Zurich

    Research output: Contribution to journalArticlepeer-review

    13 Citations (Scopus)

    Abstract

    The 2015 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), aims at providing a challenging image analysis opportunity, including multiresolution and multisensor fusion at extremely high resolution. The 2015 Contest involves two datasets acquired simultaneously by passive and active sensors. The passive data is a 5cm-resolution color ortho-photo acquired in the visible wavelength range. The active data source is a 65 pts/m2 LiDAR 3D point cloud that is provided both as raw 3D coordinates (ASCII format) and as a Digital Surface Model (DSM) with a point spacing of about 10 cm. The laser scan rate, angle, and frequency were 125 Hz, 20°, and 49 Hz, respectively. The LiDAR data include the first, last and one intermediate return.

    Original languageEnglish
    Article number7067041
    Pages (from-to)40-41
    Number of pages2
    JournalIEEE Geoscience and Remote Sensing Magazine
    Volume3
    Issue number1
    DOIs
    Publication statusPublished - 1 Mar 2015

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