Journal
DIGITAL SIGNAL PROCESSING
Volume 16, Issue 5, Pages 523-532Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.dsp.2004.11.001
Keywords
inverse synthetic aperture radar; 3D image reconstruction; automatic target recognition
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Traditionally, inverse synthetic aperture radar (ISAR) image frames are classified individually in an automatic target recognition system. When information from different image frames is combined, it is usually in the context of time-averaging to remove statistically independent noise fluctuations between images. The sea state induced variability of the ship target projections between frames, however, also provides additional information about the target, which can be used to construct a 3D representation of the target scatterer positions. In this paper, a method for classifying a ship based on 3D scatterer information from a sequence of 2D ISAR images is described. A preliminary classification result for simulated ISAR images of nine types of ship is also provided. Crown Copyright (C) 2004 Published by Elsevier Inc. All rights reserved.
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