Spotlight SAR Images Restoration based on Tomography Model

摘要：

A novel approach for spotlight synthetic aperture radar (SAR) image restoration based on tomography model is presented for the characteristic of spotlight SAR image.Giving an initial guess value as the external incentives to detect SAR images of the internal features,the forward model is established to obtain the theoretical value for imaging.In order to overcome ill-posed problem of restoration and remain more texture information of targets in SAR image,adaptive regularization parameters are introduced,which make it possible to run synchronously with iteration operation and automatically modify the model parameters to the optimal value.Meanwhile,according to forward model,inversion model of SAR image is determined by using adaptive modified matrix. The updating value of image restoration is obtained by solving equations and setting the threshold as a condition for the termination of iteration so that the final results of the image restoration are obtained. The experimental results show that the proposed algorithm is effective for SAR image restoration with blurring and noises.

关键词： Spotlight SAR Tomography Image restoration Model updating

作者: Zhenming Peng Hongbing Wang Guo Zhang Shiying Yang

作者单位: School of Opto-Electronic Information,University of Electronic Science and Technology of China,Chengdu 610054,China

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 1060-1063

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）