ISPRS 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 Stilla   Technische Universitaet Muenchen Photogrammetry & Remote Sensing Muenchen GERMANY +49 89 289 22670 stilla@tum.de home page
Co-Chair
	Jie Shan   Purdue University School of Civil Engineering 550 Stadium Mall Drive West Lafayette, IN USA +1 765 494 2168 jshan@ecn.purdue.edu home page
Co-Chair
	Devis Tuia   Laboratory of Geo-information Science and Remote Sensing Department of Environmental Sciences Wageningen University THE NETHERLANDS +31 317489403 devis.tuia@wur.nl home page
Secretary
	Ludwig Hoegner   Technische Universitaet Muenchen Photogrammetry & Remote Sensing Muenchen GERMANY +49 89 289 22680 ludwig.hoegner@tum.de home page

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 )