基于二维ISAR图像序列的雷达目标三维重建方法
doi: 10.3724/SP.J.1146.2013.00140
3D Reconstruction of Target Geometry Based on 2D Data of Inverse Synthetic Aperture Radar Images
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摘要: 该文基于刚体目标3维运动过程中的几何不变性，将因子分解法引入ISAR图像处理领域，成功实现了雷达目标从2维到3维的重建。文中基于卡尔曼滤波和最邻近数据关联准则完成不同姿态下2维散射中心的关联，应用因子分解法进行目标结构的分层重建，最后给出评判准则检验重建性能。仿真实验证明，该文方法简单易行，能够有效实现单天线ISAR 3维成像。Abstract: Based on the geometry invariance of rigid target during its 3D motion, the targets unknown 3D shape is reconstructed from 2D images in this paper. Kalman filter and nearest neighbor method data association are used for scattering centers association of different ISAR images. The factorization method is used to reconstruct the target geometry. Furthermore, an error judge standard is proposed to verify the effectiveness of the reconstruction. The reconstruction is realized by the simulation.
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