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Methods for Parametrically Reconstructing Position of 3D Scattering Center Model of Targets from SAR Images
Author(s) -
Xiaoming Liu,
Guihua Wen,
Jing Zhong
Publication year - 2013
Publication title -
leida xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.301
H-Index - 13
ISSN - 2095-283X
DOI - 10.3724/sp.j.1300.2013.20080
Subject(s) - position (finance) , center (category theory) , synthetic aperture radar , computer vision , scattering , computer science , remote sensing , artificial intelligence , geology , geodesy , physics , optics , chemistry , finance , economics , crystallography
In this paper, we present the methods of parametrically reconstructing the position of a 3D scattering center model of the targets from SAR images for a target recognition application. First, a framework for reconstructing the 3D position of the targets from the SAR images is proposed. Then, a method that uses the parameters obtained from the scattering center of the targets from the SAR images is used for reconstructing the 3D scattering center model. Finally, the proposed methods are confirmed using the simulated data

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