DocumentCode :
484556
Title :
Road Extraction and Network Building from Synthetic Aperture Radar Images using A-Priori Information
Author :
Dekker, Rob J.
Author_Institution :
TNO Defence, Security & Safety, Hague
Volume :
4
fYear :
2008
fDate :
7-11 July 2008
Abstract :
This paper describes a method for the extraction of road networks from radar images. Three phases can be distinguished: (1) detection of road lines, (2) network building, and (3) network fusion. The method has been demonstrated on two radar images, one urban and one rural. Despite the differences, the procedure was able to cover a large part of both networks that was not obscured by trees. This was done using roughly the same parameters. Topology was preserved, and one of the networks was fused with a network from a 1: 50,000 digital map, and one extracted from a high-resolution optical image. However, the network extraction and merging process described in this paper can not be regarded as optimal. Additional rules and processing are required. Useful input is expected from image analysts with respect to the procedure and results.
Keywords :
feature extraction; geographic information systems; geophysical signal processing; geophysical techniques; radar imaging; roads; sensor fusion; synthetic aperture radar; topology; a priori information; high resolution optical image; network building; network fusion; road image extraction; road line detection; synthetic aperture radar imaging; topology; Adaptive optics; Data mining; Merging; Network topology; Optical fiber networks; Phase detection; Radar detection; Radar imaging; Roads; Synthetic aperture radar; Feature extraction; Geographic information systems; Synthetic aperture radar; Urban areas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
Type :
conf
DOI :
10.1109/IGARSS.2008.4779760
Filename :
4779760
Link To Document :
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