Sidescan Sonar Image Matching Using Cross Correlation

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2003Researchpeer-review

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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.
Original languageEnglish
Title of host publicationProceedings of SPIE
EditorsRussell S. Harmon, John H. Holloway, Jr., J. T. Broach
Number of pages1448
Volume5089
PublisherSPIE - International Society for Optical Engineering
Publication date2003
Pages406-412
ISBN (Print)9780819449498
DOIs
Publication statusPublished - 2003
EventDetection and Remediation Technologies for Mines and Minelike Targets VIII - Orlando, Florida, USA
Duration: 1 Jan 2003 → …

Conference

ConferenceDetection and Remediation Technologies for Mines and Minelike Targets VIII
CityOrlando, Florida, USA
Period01/01/2003 → …
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Sonar, Sand, Sand ripples, Numerical methods, Image analysis, Image quality, Ammunition
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