In this paper, we briefly introduce the concept of physics guided learning for Synthetic Aperture Radar (SAR) and the potential advantages. Specifically, we propose a physics guided learning method for SAR airplane target feature representation, where the airplane scattering characteristics are extracted to guide the model training. To this end, the feature representation of physics guided learning is constrained to be aware of target scattering characteristics. The experimental results tentatively illustrate the effectiveness.