Processing of multiresolution thermal hyperspectral and digital color data: outcome of the 2014 IEEE GRSS data fusion contest

Wenzhi Liao, Xing Huang, Frieke Vancoillie, Sidharta Gautama, Aleksandra Pizurica, Wilfried Philips, Hui Liu, Tingting Zhu, Michal Shimoni, Gabriele Moser, Devis Tuia

Research output: Contribution to journalArticle

117 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)2984-2996
Number of pages13
JournalIEEE Journal of Selected Topics in Earth Observation and Remote Sensing
Volume8
Issue number6
DOIs
Publication statusPublished - 15 May 2015

Keywords

  • multiresolution
  • multisource-data fusion
  • multimodal
  • landcover classification
  • thermal imaging
  • image analysis and data fusion (IADF)
  • hyperspectral
  • remote sensing
  • directional morphological profiles
  • supervised classification
  • surface temperature
  • domain adaptation
  • LiDAR data
  • resolution
  • extraction
  • features
  • polarization

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