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

98 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

Fingerprint

Data fusion
Remote sensing
Color
remote sensing
Processing
Image analysis
Sensor data fusion
image analysis
Innovation
Infrared radiation
Hot Temperature
land cover
innovation

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

Cite this

Liao, Wenzhi ; Huang, Xing ; Vancoillie, Frieke ; Gautama, Sidharta ; Pizurica, Aleksandra ; Philips, Wilfried ; Liu, Hui ; Zhu, Tingting ; Shimoni, Michal ; Moser, Gabriele ; Tuia, Devis. / Processing of multiresolution thermal hyperspectral and digital color data : outcome of the 2014 IEEE GRSS data fusion contest. In: IEEE Journal of Selected Topics in Earth Observation and Remote Sensing. 2015 ; Vol. 8, No. 6. pp. 2984-2996.
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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.",
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author = "Wenzhi Liao and Xing Huang and Frieke Vancoillie and Sidharta Gautama and Aleksandra Pizurica and Wilfried Philips and Hui Liu and Tingting Zhu and Michal Shimoni and Gabriele Moser and Devis Tuia",
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Processing of multiresolution thermal hyperspectral and digital color data : outcome of the 2014 IEEE GRSS data fusion contest. / Liao, Wenzhi; Huang, Xing; Vancoillie, Frieke; Gautama, Sidharta; Pizurica, Aleksandra; Philips, Wilfried; Liu, Hui; Zhu, Tingting; Shimoni, Michal; Moser, Gabriele; Tuia, Devis.

In: IEEE Journal of Selected Topics in Earth Observation and Remote Sensing, Vol. 8, No. 6, 15.05.2015, p. 2984-2996.

Research output: Contribution to journalArticle

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AU - Moser, Gabriele

AU - Tuia, Devis

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