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    Klassifisering av skip ved bruk av ISAR

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    03-00812.pdf (2.554Mb)
    Date
    2003
    Author
    Knapskog, Atle Onar
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    Abstract
    ISAR (Inverse Synthetic Aperture Radar) is a radar mode for high-resolution imaging of moving targets. Airborne ISAR has a potential for long-range ship classification. This report presents a method for automatic ship classification. The theoretical basis is examined and an implemented algorithm is described. Our approach to automatic classification is based on 3-dimensional wire-frame models. The models are built from photographs using the commercial software PhotoModeler. The classification algorithm includes the following steps: The ISAR image is analysed, and specific features are extracted. The results are used for transforming the wire-frame models to the ISAR image projection plane. The silhouettes of the ISAR image and the transformed models are compared, and the best match is presented to the user.
    URI
    http://hdl.handle.net/20.500.12242/1627
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