Sidescan sonar image matching using cross correlation

Erik Thisen; Helge B. D. Sorensen; Bjarne Stage

doi:10.1117/12.487242

11 September 2003 Sidescan sonar image matching using cross correlation

Erik Thisen, Helge B. D. Sorensen, Bjarne Stage

Proceedings Volume 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII; (2003) https://doi.org/10.1117/12.487242
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

When surveying an area for sea mines with a sidescan sonar, the ability to find the same object in two different sonar images is helpful to determine the nature of the object. The main problem with matching two sidescan sonar images is that a scene changes appearance when viewed from different viewpoints. This paper presents a novel approach for matching two sidescan sonar images. The method first registers the two images to ground, then uses the cross correlation of the object positions on the seabed to find the correct displacement between the two images. In order to correct any minor displacements of the relative objects position as a result of the ground registration, the object position is given an area of influence. The method is compared to an existing method for matching sidescan sonar images based on hypothetical reasoning. The two methods are compared on a number of real sidescan sonar images in which the displacement is already known, as well as on images taken of a scene from two different viewpoints. We conclude that the proposed method has fewer variables to tune in order to get satisfactory results, and that it gives better or equal results compared to the hypothetical reasoning method.

Citation Download Citation

Erik Thisen, Helge B. D. Sorensen, and Bjarne Stage "Sidescan sonar image matching using cross correlation", Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); https://doi.org/10.1117/12.487242

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KEYWORDS

Image registration

Image filtering

Image segmentation

Linear filtering

Image processing

Mining

Databases

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