An algorithm of airfield runway detection from high resolution synthetic aperture radar image is proposed. Runways are identified by using Hough transform technique, followed by a series of speckle suppression and region of interest (ROI) segmentation. First, speckle suppression based on edge preserving is described. Then, constant false alarm rate detector with probability iteration is used for ROI segmentation. Finally, peak values detected from Hough transform domain determine the edge location of runway. High resolution images are used to illustrate the algorithm, and experimental results show that performance is satisfactory.
Airfield Runway Detection from Synthetic Aperture Radar Image
2008 Congress on Image and Signal Processing ; 4 ; 798-801
01.05.2008
1090643 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Automatic Recognition of Airfield Runway in Synthetic Aperture Radar Images
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