Abstract : Previously, a novel formulation for the generation of three-dimensional (3D) inverse synthetic aperture radar (ISAR) images based on recent developments in high resolution spectral estimation theory was presented. Because this technique requires only "snapshots" of data, where a "snapshot" is defined as a block of Nyquist sampled frequency-time pulses of data, we refer to it as "3D snapshot imaging." Concomitant with these results, recent advances in interferometric SAR imaging have demonstrated the use of two-dimensional (2D) range-Doppler image phase information to extract "out-of-plane" height information to obtain 3D images of ground scenes. In this case, a unique sampling grid is generated that allows "overlaying" of nearly identical 2D range-Doppler images and uses phase differences between these images to estimate the "out-of-plane" height information, from which a 3D image is developed. In this report, we develop a framework connecting these two techniques, particularly applicable to forming 3D images of target types typically dominated by smaller numbers (<20) of scattering centers, and characterized by deterministic exoatmospheric motion having torque-free Euler dynamic spin and precession. Applications of the development are illustrated using simulation data: specifically, the wideband, monostatic field is simulated using a simple point scatter model of a generic cone-like target, and the phase-enhanced 3D image is generated for differing cases. Extensions of the technique to bistatics are also discussed.