关键词: 超分辨重构, SAR图像, 正则化, Contourlet变换

Abstract: Aiming at the reconstruction of SAR image super-resolution，a regularization model based on multi-scale contourlet-domain is established.When choosing the regularization parameter，an adaptive method is proposed which needn’t the noise and prior information of image，and enhances the veracity of the regularization parameter.The algorithm’s convergence is improved by FR conjugate gradient method.Compared with regularization algorithm in spatial domain and wavelet domain，computer simulations show that the proposed approach in this paper can properly retrieve the main information of original image and is superior to the other two methods.

Key words: super-resolution reconstruction, SAR image, regularization, Contourlet transformation