An efficient SAR target recognition algorithm based on contour and shape context

An efficient Recognition algorithm was proposed. The main idea of proposed algorithm is that the feature extraction module considers both the target and its shadow. The normalized Fourier series coefficients are used as the target contour feature, the spatial occurrence frequencies of both target and shadow pixels in several well constructed circular windows are used as shape context feature. The minimum distance classifier is used to give the final recognition result. Experiments on MSTAR data validate the effectiveness of proposed algorithm.