A super resolution SAR imaging method based on CSA

Available conventional super resolution SAR imaging methods are based on complex images obtained by SAR imaging algorithms, and form super resolution SAR images via 2-D spectral estimation methods. A super resolution SAR imaging method combined with the chirp scaling algorithm (CSA) is presented in this paper. The new method forms a super resolution image by performing the range and the azimuth processing independently. This method can reduce the effects of phase errors on super resolution processing. The method is suitable for practical application since it does not require heavy computation. Experimental results show the effectiveness of the presented method.