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Model based ISAR ship classification

Authors :
Rice, Feng
Cooke, Tristrom
Gibbins, Danny
Source :
Digital Signal Processing. Sep2006, Vol. 16 Issue 5, p628-637. 10p.
Publication Year :
2006

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
10512004
Volume :
16
Issue :
5
Database :
Academic Search Index
Journal :
Digital Signal Processing
Publication Type :
Periodical
Accession number :
22212925
Full Text :
https://doi.org/10.1016/j.dsp.2006.01.007