3D Reconstruction of Target Geometry Based on 2D Data of Inverse Synthetic Aperture Radar Images

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.