Three-Dimensional Reconstruction of Target Based on Phase-Derived Technology

Three-dimensional images can accurately reflect the target’s posture and structure, providing rich feature information for spatial target recognition. However, challenges arise in image registration and phase reconstruction for interferometric inverse synthetic aperture radar (InISAR) 3-D imaging when observation perspectives significantly differ, the target size is relatively large, or the squint model is present. Therefore, we propose a target 3-D reconstruction method based on phase-derived technology. For the issue of image distortion misregistration caused by differing observation perspectives, we propose transforming the traditional image registration problem into a multiscatterer association problem by extracting target scatterer information from inverse synthetic aperture radar (ISAR) 2-D images and using the iterative closest point (ICP) algorithm to achieve scatterer association between different ISAR images. To tackle the interference phase ambiguity problem caused by large target size or squint model in InISAR 3-D imaging, we propose transforming the 3-D reconstruction problem into a 3-D positioning problem for each scatterer and achieving 3-D reconstruction through a 3-D positioning method based on phase-derived angle measurement (PDAM) and phase-derived range measurement (PDRM). In cases where the extracted scatterers are generally nonideal, the nonideal scatterers can be treated as a whole, and cross correlation processing can be performed between different antennas to extract the interferometric phase. Both simulation and measured data have verified the effectiveness of the proposed method.