• DocumentCode
    742432
  • Title

    Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest

  • Author

    Wenzhi Liao ; Xin Huang ; Van Coillie, Frieke ; Gautama, Sidharta ; Pizurica, Aleksandra ; Philips, Wilfried ; Hui Liu ; Tingting Zhu ; Shimoni, Michal ; Moser, Gabriele ; Tuia, Devis

  • Author_Institution
    TELIN-IPI-iMinds, Ghent Univ., Ghent, Belgium
  • Volume
    8
  • Issue
    6
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    2984
  • Lastpage
    2996
  • Abstract
    This paper reports the outcomes of the 2014 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (IEEE GRSS). As for previous years, the IADF TC organized a data fusion contest aiming at fostering new ideas and solutions for multisource remote sensing studies. In the 2014 edition, participants considered multiresolution and multisensor fusion between optical data acquired at 20-cm resolution and long-wave (thermal) infrared hyperspectral data at 1-m resolution. The Contest was proposed as a double-track competition: one aiming at accurate landcover classification and the other seeking innovation in the fusion of thermal hyperspectral and color data. In this paper, the results obtained by the winners of both tracks are presented and discussed.
  • Keywords
    geophysical image processing; hyperspectral imaging; image colour analysis; image fusion; image resolution; land cover; remote sensing; AD 2014; IEEE GRSS data fusion contest; IEEE Geoscience and Remote Sensing Society; Image Analysis and Data Fusion Technical Committee; digital color data processing; double-track competition; land cover classification; long-wave infrared hyperspectral data; multiresolution thermal hyperspectral data processing; multisensor fusion; multisource remote sensing study; optical data multiresolution; thermal hyperspectral color data; thermal hyperspectral fusion data; thermal infrared hyperspectral data; Data integration; Feature extraction; Hyperspectral imaging; Image analysis; Image resolution; Vegetation mapping; Hyperspectral; image analysis and data fusion (IADF); landcover classification; multimodal-; multiresolution-; multisource-data fusion; thermal imaging;
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2015.2420582
  • Filename
    7109121