On feature extraction and region matching for forward scan sonar imaging

Automated processing of sonar video imagery enables valuable capabilities for a wide variety of underwater applications in turbid environments. Some key examples comprise the detection, localization and tracking of distinct scene targets, building feature maps, as well as improving positioning accur...

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Bibliographic Details
Published in2012 Oceans pp. 1 - 9
Main Authors Aykin, M. D., Negahdaripour, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Accuracy
Computational modeling
Feature extraction
Image registration
Mathematical model
Sensitivity
Sonar
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Summary:Automated processing of sonar video imagery enables valuable capabilities for a wide variety of underwater applications in turbid environments. Some key examples comprise the detection, localization and tracking of distinct scene targets, building feature maps, as well as improving positioning accuracy of unmanned submarines by means of image registration and 3D motion estimation to augment traditional positioning devices. This work offers a novel technique for the registration of 2D forward-look sonar images, by optimization over the sonar 3D motion parameters. It incorporates landmark detection through an adaptive clustering scheme with Gaussian map to represent key features at each frame. Improved performance is demonstrated in experiments with real data, both in terms of computation time and accuracy, relative to the state of the art, where the registration utilizes a simplified 2D image transformation model. Among many potentials, the method can improve precision in AUV navigation and environmental modeling.
ISBN:1467308293
9781467308298
ISSN:0197-7385
DOI:10.1109/OCEANS.2012.6404983