Single-Channel and Single-Pass Stripmap SAR Target 3D Reconstruction

Three dimensions (3D) reconstruction of synthetic aperture radar (SAR) has previously been achieved through SAR tomography or circular SAR techniques. To advance SAR 3D reconstruction methods and accommodate applications requiring high efficiency, this paper presents a novel 3D reconstruction method using single-channel and single-pass stripmap SAR images. The proposed method involves three main stages: dechirping image generation, SAR image matching, and 3D coordinates calculation. First, a dechirping domain SAR image is generated using the dechirping process (Dechirp-SAR) instead of matched filtering during the azimuth compression. Second, the local feature matching with Transformer (LoFTR) algorithm is utilized for SAR image matching, followed by filtering the results. Finally, the 3D coordinates are calculated using the range-Doppler (RD) equations within the dechirping domain (Dechirp-RD). Experiments on both simulated and measured data quantitatively validate the effectiveness of the proposed method.