3D Reconstruction Strategy of Vehicle Targets Based on Multi-Angle Observation Using UAV Swarm SAR

Compared to single-platform UAV-borne SAR, UAV swarm SAR offers greater operational flexibility and diverse deployment configurations. By distributing the UAV swarm SAR around the target scene from different aspects, it enables rapid multi-angle parallel observation to acquire target scattering information with high imaging efficiency. However, efficiently utilizing the echo data collected by multiple platforms to achieve high-quality 3D target reconstruction remains a critical challenge to be addressed. This paper proposes a 3D imaging method based on multi-angle observation using UAV swarm SAR. Each UAV-borne SAR collects only partial-aperture fully polarimetric data, and through cooperative coordination among the UAV swarm, a large synthetic aperture is formed within a short timeframe. Leveraging the electromagnetic scattering characteristics of vehicle targets, the 3D information is estimated via polarimetric decomposition and projection relationship analysis of 2D images, enabling 3D target reconstruction. Finally, the correctness and effectiveness of the proposed method are validated using the CVDomes simulation dataset.