Paper Info
Title
Joint Cross-Range Scaling and 3D Geometry Reconstruction of ISAR Targets Based on Factorization Method.
Abstract
Traditionally, the factorization method is applied to reconstruct the 3D geometry of a target from its sequential inverse synthetic aperture radar images. However, this method requires performing cross-range scaling to all the sub-images and thus has a large computational burden. To tackle this problem, this paper proposes a novel method for joint cross-range scaling and 3D geometry reconstruction of steadily moving targets. In this method, we model the equivalent rotational angular velocity (RAV) by a linear polynomial with time, and set its coefficients randomly to perform sub-image cross-range scaling. Then, we generate the initial trajectory matrix of the scattering centers, and solve the 3D geometry and projection vectors by the factorization method with relaxed constraints. After that, the coefficients of the polynomial are estimated from the projection vectors to obtain the RAV. Finally, the trajectory matrix is re-scaled using the estimated rotational angle, and accurate 3D geometry is reconstructed. The two major steps, i.e., the cross-range scaling and the factorization, are performed repeatedly to achieve precise 3D geometry reconstruction. Simulation results have proved the effectiveness and robustness of the proposed method.
Year
DOI
Venue
2016
10.1109/TIP.2016.2526905
IEEE Trans. Image Processing
Keywords
Field
DocType
Geometry,Imaging,Radar imaging,Image reconstruction,Trajectory,Image resolution
Iterative reconstruction,Computer vision,Radar imaging,Polynomial,Matrix (mathematics),Robustness (computer science),Inverse synthetic aperture radar,Factorization,Artificial intelligence,Scaling,Mathematics
Journal
Volume
Issue
ISSN
25
4
1057-7149
Citations 
PageRank 
References 
5
0.43
16
Authors
5
Name
Order
Citations
PageRank
Lei Liu150.43
Zhou, F.2252.98
Xueru Bai316925.80
Mingliang Tao46810.49
Zi-jing Zhang513515.74