Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/22852
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Type: Journal article
Title: Model based ISAR ship classification
Author: Rice, F.
Cooke, T.
Gibbins, D.
Citation: Digital Signal Processing, 2006; 16(5):628-637
Publisher: Academic Press Inc Elsevier Science
Issue Date: 2006
ISSN: 1051-2004
Statement of
Responsibility: 
Feng Rice, Tristrom Cooke, and Danny Gibbins
Abstract: This paper describes a method for ISAR image classification, based on a comparison of range-Doppler imagery to supplied 3D ship reference models. This comparison is performed in the image domain by first estimating ship motion for each frame in a sequence of ISAR images. ISAR images are then simulated using this estimated motion applied to some known 3D reference models, and the model image and real images are compared to produce a match score for use in classification. The effect of estimation error in each of the motion parameters is also investigated.
Keywords: ISAR image
ship motion estimation
automatic target recognition
DOI: 10.1016/j.dsp.2006.01.007
Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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