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In order to solve the problem that conventional inverse synthetic aperture radar three-dimensional (InISAR 3D) imaging methods need too much computation and so many restrictions in image registration step, this study proposes an InISAR 3D imaging algorithm based on joint translational compensation. The algorithm employs joint translational compensation of range and cross-range direction to achieve the aim of imaging and registration. While obtaining the two-dimensional ISAR images, the accurate registration of different ISAR images is completed. The algorithm needs less calculations and fewer constraints. Simulation results verify the effectiveness of it.