GeoAIDA (Geo Automatic Image Data Analyser)

Background

The analysis of complex images e.g. aerial images of periphery and downtown scenes is not possible with an approach only on sub-symbolic basis.

Goal

The interpretation of periphery and downtown scenes with the automatic extraction of the road network.

Approach

The use of a priori knowledge and the modeling of this knowledge in a semantic network to make the knowledge useable for an automatic image interpretation. GeoAIDA is a system for controlling the interpretation of remote sensing data for the purpose of land use analysis.

References

• GeoAIDA BerliOS Project

Recent Publications

Show all publications

	Christian Becker, Martin Pahl, Joern Ostermann Mono-Temporal GIS Update Assistance System based on unsupervised Coherence Analysis and Evolutionary Optimisation ISPRS 2012, accepted for publication, International Society for Photogrammetry and Remote Sensing, Melbourne, August 2012 BibTeX
	Petra Helmholz, Torsten Büschenfeld, Uwe Breitkopf, Sönke Müller, Franz Rottensteiner Multitemporal Quality Assessment of Grassland and Cropland Objects of a Topographic Dataset ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Information Science, accepted for publication, International Society for Photogrammetry and Remote Sensing, Melbourne, Australia, August 2012 BibTeX
	Torsten Büschenfeld, Jörn Ostermann Automatic Refinement of Training Data for Classification of Satellite Imagery ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Science, accepted for publication, International Society for Photogrammetry and Remote Sensing, Melbourne, Australia, August 2012 BibTeX