An attributed scattering center model exploits scattering phenomenology that is not accessed through traditional SAR image formation. Frequency, aspect, and polarization dependent scattering behaviors are jointly processed to provide a concise, descriptive, high resolution analysis of regions of interest. Used in conjunction with other features such as shadows, context, and image texture, attributed scattering center features hold promise for both feature- based and model-based automatic target recognition systems. In this conference paper, we present a parametric model for radar scattering as a function of frequency and aspect angle; the model is suggested by high-frequency monostatic far-field scattering solutions provided by the geometrical theory of diffraction and physical optics. The scattering model is used for analysis of synthetic aperture radar data. The estimated parameters provide a concise, physically relevant description of measured scattering for use in target recognition, data compression and scattering studies.The scattering model may be fit to either complex- valued imagery or to radar phase history data using a nonlinear least-squares estimator. Statistical analysis of the scattering model serves to characterize uncertainty to estimated scattering parameters. Feature estimation performance bounds are evaluated for X-band, K-band, and ultra wideband synthetic aperture radar scenarios.