Dr. Myoung H. An Profile

Dr. Myoung H. An

Principal Scientist at Prometheus Inc

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Proceedings Article | 10 June 2005 Paper

A group filter algorithm for sea mine detection

J. Tory Cobb, Myoung An, Richard Tolimieri

Proceedings Volume 5794, (2005) https://doi.org/10.1117/12.603405

KEYWORDS: Detection and tracking algorithms, Target detection, Naval mines, Image segmentation, Transform theory, Image filtering, Digital signal processing, Databases, Computing systems, Image processing

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Automatic detection of sea mines in coastal regions is a difficult task due to the highly variable sea bottom conditions present in the underwater environment. Detection systems must be able to discriminate objects which vary in size, shape, and orientation from naturally occurring and man-made clutter. Additionally, these automated systems must be computationally efficient to be incorporated into unmanned underwater vehicle (UUV) sensor systems characterized by high sensor data rates and limited processing abilities. Using noncommutative group harmonic analysis, a fast, robust sea mine detection system is created. A family of unitary image transforms associated to noncommutative groups is generated and applied to side scan sonar image files supplied by Naval Surface Warfare Center Panama City (NSWC PC). These transforms project key image features, geometrically defined structures with orientations, and localized spectral information into distinct orthogonal components or feature subspaces of the image. The performance of the detection system is compared against the performance of an independent detection system in terms of probability of detection (P_d) and probability of false alarm (P_fa).

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