ICWG II/III: Pattern Analysis in Remote Sensing

Our Mission

ISPRS Inter Commission Working Group II/III aims at closing the gap between remote sensing and computer vision in pattern recognition and image analysis. We want to foster the introduction and adaption of new methodologies and algorithms of pattern analysis into the field of remote sensing. To this purpose, the WG organizes workshops to exchange the latest developments in pattern analysis in remote sensing.

Working Group Officers:



Chair  

Uwe StillaUwe Stilla
Technische Universitaet Muenchen
Photogrammetry & Remote Sensing
Muenchen
Germany
+49 89 289 22670

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Co-Chair  

Jie ShanJie Shan
Purdue University
School of Civil Engineering
550 Stadium Mall Drive
West Lafayette, IN
USA
+1 765 494 2168

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Co-Chair  

Devis TuiaDevis Tuia
University of Zurich
Multimodal Remote Sensing
Winterthurerstr. 190
Zurich
Switzerland
+41 44 635 52 60

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Secretary  

Ludwig HoegnerLudwig Hoegner
Technische Universitaet Muenchen
Photogrammetry & Remote Sensing
Muenchen
Germany
+49 89 289 22680

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Terms of Reference:

  • Automatic identification and learning of 2D and 3D patterns in uni-modal and multi-modal remote sensing data, e.g. multi-scale aerial and satellite data; multi- and hyperspectral data; SAR-, radargrammetric and SAR-tomography data
  • Automatic identification and learning of temporal patterns in remote sensing data, e.g. image-based flow estimation and learning from InSAR data (traffic, glaciers, currents, etc.); analysis-by-synthesis approaches for motion and deformation modeling with passive and active sensors
  • Integration of radiometry and radiometric models into pattern recognition; radiometrically enhanced object models for range-intensity images and sequences; integration of SAR-simulation into SAR-image and analysis
  • Recognition of 2D and 3D patterns in remote sensing data exploiting 3d and 4d models (GIS / CAD / BIM )