Abstract: In the Inverse Synthetic Aperture Radar (ISAR) imaging of targets with rotating parts, the Doppler centroid of the radar returns are disturbed by the micro-Doppler of the rotating parts. As a result, the phase estimation and compensation accuracy will decline and the image of the targets main body may be unfocused. To solve this problem, an algorithm based on adaptive range bins selection in the fast minimum entropy phase compensation is presented. By adaptively selecting range bins which only contain the returns of the main body scatterers, the disturbance from the rotating parts can be avoided and the computational efficiency is improved. The result from a set of measured data is given to verify the validity of this algorithm.