A new imaging framework improves how unmanned aerial vehicle (UAV) radar systems reconstruct three-dimensional (3D) scenes in complex urban environments. By combining three-dimensional back projection with compressive sensing, the method overcomes a long-standing low-altitude imaging problem known as channel migration. The result is more accurate 3D reconstruction of buildings and ground features, with stronger resolution, lower error, and better structural recovery than conventional methods.