Title : 
Registration of images from a hull mounted, low frequency synthetic aperture sonar
         
        
            Author : 
Bonnett, Blair ; Hayes, Michael ; Hunter, Andrew
         
        
            Author_Institution : 
Electr. & Comput. Eng., Univ. of Canterbury, Christchurch, New Zealand
         
        
        
        
        
        
            Abstract : 
Coherent change detection between multiple synthetic aperture sonar (SAS) images is reliant on the images being co-registered with sub-pixel accuracy. In this paper we suggest a technique using available navigation data to reconstruct the images onto a common grid. Data obtained using the MUD SAS system is used to demonstrate this method. We show that even with high quality navigation data there is still a misregistration which causes a loss of coherence. Additional data-driven alignment is required in order to use the images for coherent change detection.
         
        
            Keywords : 
image reconstruction; image registration; sonar detection; sonar imaging; synthetic aperture sonar; MUD SAS system; coherent change detection; data-driven alignment; high quality navigation data; hull mounted low frequency synthetic aperture sonar image; image coregistration; image misregistration; image reconstruction; image registration; navigation data; subpixel accuracy; Apertures; Coherence; Image reconstruction; Multiuser detection; Noise; Synthetic aperture sonar;
         
        
        
        
            Conference_Titel : 
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International Conference of
         
        
            Conference_Location : 
Wellington
         
        
        
            Print_ISBN : 
978-1-4799-0882-0
         
        
        
            DOI : 
10.1109/IVCNZ.2013.6727006