A number of spectral feature computations for purposes of discriminating military targets from clutter are currently under investigation within the Radar Branch at the Air Force Research Laboratory. Results from a comparative performance analysis of these features are reported. The development and analysis of spectral phase computations are of particular interest since, for some 'hard clutter' environments, the use of amplitude-based discriminants does not generate a sufficiently low false alarm rate. These phase computations are based on the analysis of the Fourier phase function, analysis of the phase spectral density, and analysis of the bispectrum. Additional spectral features, such as features based on angular diversity, are also included within the scope of this investigation. The data for this investigation is comprised of some SAR images and image chips that were collected and generated under the DARPA/Air Force Moving and Stationary Target Acquisition and Recognition (MSTAR) Program.