Title : 
Detecting man-made features in SAR imagery
         
        
            Author : 
Carlotto, Mark J.
         
        
            Author_Institution : 
PSR Corp., Arlington, VA, USA
         
        
        
        
        
        
            Abstract : 
A method for detecting man-made features in synthetic aperture radar (SAR) imagery is described. The method is based on matching the local histogram against a family of Weibull densities. The Weibull density is defined by two parameters, the median and the skewness (Weibull parameter). Regions containing man-made objects have Weibull parameter values that are smaller than those containing natural features. In experiments performed with aircraft SAR imagery, man-made features are effectively discriminated from natural features using this method
         
        
            Keywords : 
Weibull distribution; feature extraction; geophysical signal processing; geophysical techniques; image matching; image segmentation; radar imaging; radar signal processing; remote sensing by radar; synthetic aperture radar; SAR imagery; Weibull density; buildings; feature extraction; geophysical measurement technique; image matching; image region analysis; land surface; local histogram; man-made feature; median; radar imaging; radar remote sensing; skewness; synthetic aperture radar; terrain mapping; urban area; Aircraft; Brightness; Clutter; Computer vision; Histograms; Image edge detection; Object detection; Pixel; Radar detection; Synthetic aperture radar;
         
        
        
        
            Conference_Titel : 
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
         
        
            Conference_Location : 
Lincoln, NE
         
        
            Print_ISBN : 
0-7803-3068-4
         
        
        
            DOI : 
10.1109/IGARSS.1996.516236