A method based on the optimization techniques for the motion compensation in inverse synthetic aperture radar (ISAR) imaging was proposed. The approach is to minimize the measure function of image entropy, which is a measure of the degree of focus of an image, by using the optimization method that leads to an optimization estimation for the true motion parameters. The approach was developed to improve the quality of range Doppler imagery. Some experimental imaging results obtained from realistic targets were given.