Automated Ship and Small Craft Classification Tools for ISAR Imagery
Small Business Information
LAMBDA SCIENCE, INC.
P.O. Box 238, Wayne, PA, 19087
Joseph Teti, Jr.
Joseph Teti, Sr.
AbstractAutomated ship and small craft classification tools for ISAR imagery is a challenging problem, but the use of advanced time-frequency processing techniques in conjunction with proven methods from statistical pattern recognition hold considerable promise for realizing a sound capability. LSI's approach leverages our state-of-the-art knowledge and expertise of the three primary aspects of the solution space: (i) ISAR image formation and time-frequency information extraction for feature vector formation, (ii) correct physical interpretation of feature vector components that include target and clutter scattering phenomena and kinematics attributes, and (iii) multi-dimensional Bayesian engine based decision theory to implement a statistically optimum ATR capability
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