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GeoAIDA (Geo Automatic Image Data Analyser)

Dipl. Math. Christian Becker
Dipl.-Ing. Torsten Büschenfeld
Dr.-Ing. Martin Pahl
M.Sc. Karsten Vogt
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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

Recent Publications

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Petra Helmholz, Christian Becker, Uwe Breitkopf, Torsten Büschenfeld, Andreas Busch, Dietmar Grünreich, Christian Heipke, Sönke Müller, Jörn Ostermann, Martin Pahl, Karsten Vogt, Marcel Ziems
Semiautomatic Quality Control of Topographic Reference Datasets
ISPRS Commission 4 Symposium, Orlando, Florida, November 2010
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Karsten Vogt, Björn Scheuermann, Christian Becker, Torsten Büschenfeld, Bodo Rosenhahn, Jörn Ostermann
Automated Extraction of Plantations from Ikonos Satellite Imagery using a Level Set Based Segmentation Method
ISPRS Technical Commission VII Symposium, International Society for Photogrammetry and Remote Sensing, Vol. 38, Nr. 7, pp. 275-280, 2010
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Christian Becker, Marcell Ziems, Torsten Büschenfeld, Christian Heipke, Sönke Müller, Jörn Ostermann, Martin Pahl
Multi-Hierarchical Quality Assessment of Geospatial Data
ISPRS, International Society for Photogrammetry and Remote Sensing, Beijing, 2008
(pdf) BibTeX