Some synthetic aperture imaging techniques have strict path requirements and need to be processed in overlapping chunks. Path adjustments applied for images can decorrelate and alter the appearance of overlapping regions, which can make mosaicing the images chunks for post mission analysis challenging. In this paper, we investigate the application of automatic change detection techniques to the problem of high accuracy, multi-band mosaicing. We will describe and demonstrate the aspects of synthetic aperture sonar (SAS) change detection, in particular automated change detection (ACD) co-registration processing that enables the production of good quality of seabed maps known as mosaicing where individual SAS runs from different traverses are pieced together in adjacent positions to form a complete image.

Date Published: 4 May 2017
PDF: 8 pages
Proc. SPIE 10182, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII, 101820J (4 May 2017); doi: 10.1117/12.2262948

Published in SPIE Proceedings Vol. 10182:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXII
Steven S. Bishop; Jason C. Isaacs, Editor(s)