Extraction of building polygons from SAR images: Grouping and decision-level in the GESTALT system

Authors:
Eckart Michaelsen;Uwe Stilla;Uwe Soergel;Leo Doktorski
Affiliations:
Fraunhofer FOM, Forschungsinstitut für Optronik und Mustererkennung, Gutleuthaus Strasse 1, 76275 Ettlingen, Germany;Fraunhofer FOM, Forschungsinstitut für Optronik und Mustererkennung, Gutleuthaus Strasse 1, 76275 Ettlingen, Germany;Fraunhofer FOM, Forschungsinstitut für Optronik und Mustererkennung, Gutleuthaus Strasse 1, 76275 Ettlingen, Germany;Fraunhofer FOM, Forschungsinstitut für Optronik und Mustererkennung, Gutleuthaus Strasse 1, 76275 Ettlingen, Germany
Venue:
Pattern Recognition Letters
Year:
2010

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Abstract

The GESTALT system is a stratified architecture designed for challenging computer vision tasks. As example application building recognition from high-resolution SAR-data of three urban scenes of different types is presented. This contribution focuses on the 3rd and 4th layers of the system: the grouping and decision layers. The 3rd layer contains an assessment driven perceptual grouping process with any-time capability and flexible control. Object grouping is based on the principles of Gestalt psychology such as similarity, continuity, and symmetry. A dynamic programming optimization is used in the final decision layer to assemble closed polygons delineating building outlines. Further post-processing includes polygon editing and consistency enforcement.