Registration of images from a hull mounted, low frequency synthetic aperture sonar
conference paper
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. © 2013 IEEE.
TNO Identifier
493032
Publisher
IEEE
Source title
2013 28th International Conference on Image and Vision Computing New Zealand, IVCNZ 2013, 27-29 November 2013, Wellington
Place of publication
Piscataway, NJ
Pages
142-147
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