WG III/4: Hyperspectral Image Processing

Working Group Officers:


Eija HonkavaaraEija Honkavaara
Finnish Geospatial Research Institute in National Land Survey of Finland
P.O. Box 84
FI-00521 Helsinki
+358 40-1920835

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Konstantinos KarantzalosKonstantinos Karantzalos
National Technical University of Athens
Heroon Polytechniou 9
Zographos, 15780
+30 2107721673
+30 2107722594


Baoxin HuBaoxin Hu
Department of Earth and Space Science and Engineering
Petrie 121
York University
4700 Keele St.
Toronto ON M3J 1P3
+416 736-2100 ext. 20557
+416 736-5817


Ilkka PölönenIlkka Pölönen
University of Jyväskylä
Department of Mathematical Information Technology
P.O. Box 35
FI-40014, University of Jyväskylä
+358 400 248 140

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Terms of Reference:

  • Visible, Ultraviolet, NIR, SWIR and thermal imaging spectroscopy from satellite, aerial, UAV and ground platforms
  • Processing and analysis of 1D signals, 2D images, 3D hypercubes and 4D hyperspectral video datasets
  • Radiometric, atmospheric and geometric calibration/corrections of hyperspectral data
  • Advanced estimation and classification methods for the hyperspectral imaging (eg. deep learning)
  • Efficient hyperspectral image classification and analysis for the consistent estimation of geo- and bio-physical parameters, mapping, vegetation analysis in agriculture, forestry and others, and environmental remote sensing
  • Fusion of hyperspectral data, other sensor data (e.g., Lidar, SAR) and a priori information
  • Processing and interpretation of hyperspectral image data from low-cost, miniaturized sensors from UAV and other platforms and applications
  • Detection, classification and tracking of moving objects/phenomena in hyperspectral video sequences
  • Comparison of hyper- and multispectral sensors in the different applications
  • Sun-induced fluorescence sensing
  • Efficient hyperspectral data processing through parallel programming, graphic card implementation and FPGAs