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Extraction of building polygons from SAR images

Grouping and decision-level in the GESTALT system
: Michaelsen, E.; Stilla, U.; Soergel, U.; Doktorski, L.

Fulltext urn:nbn:de:0011-n-1005485 (220 KByte PDF)
MD5 Fingerprint: 913d0d19b79ee2e20d7e11532a4a33f5
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Created on: 19.9.2009

Institute of Electrical and Electronics Engineers -IEEE-; International Association for Pattern Recognition -IAPR-, Technical Committee 7, Remote Sensing and Mapping:
5th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2008 : Held in conjunction with International Conference on Pattern Recognition, Tampa, Florida, 7 December 2008
New York, NY: IEEE, 2008
ISBN: 978-1-4244-2653-9
4 pp.
Workshop on Pattern Recognition in Remote Sensing (PRRS) <5, 2008, Tampa/Fla.>
International Conference on Pattern Recognition (ICPR) <19, 2008, Tampa/Fla.>
Conference Paper, Electronic Publication
Fraunhofer FOM ( IOSB)

The GESTALT-System is a stratified architecture for challenging computer vision tasks. This contribution focuses on the 3rd and 4th layer of it - the grouping and decision layers. As example application building recognition from high resolution SAR-Data is presented. The 3rd layer contains an assessment driven perceptual grouping process with any-time capability and flexible control. Important grouping principles such as good continuation and symmetry are utilized. A dynamic programming optimization is used in the final decision and postprocessing layer to find closed polygons that describe the outlines of buildings. Further post processing includes polygon editing and consistency enforcement.