A convex variational method for super resolution of SAR image with speckle noise

作者：

Highlights：

• Numerous custom SR methods consider additive Gaussian noise.

• A novel approach is proposed for the SAR image SR reconstruction with speckle noise.

• Employing MAP estimator and proposing an effective regularization is the main idea.

• A novel feature space based soft projection tool is proposed.

• Experimental results show the high performance of the proposed method.

摘要

•Numerous custom SR methods consider additive Gaussian noise.•A novel approach is proposed for the SAR image SR reconstruction with speckle noise.•Employing MAP estimator and proposing an effective regularization is the main idea.•A novel feature space based soft projection tool is proposed.•Experimental results show the high performance of the proposed method.

论文关键词：Super resolution,Synthetic aperture radar,Speckle noise,Sparse representation,Total variation,Feature space

论文评审过程：Received 27 September 2019, Revised 3 September 2020, Accepted 2 November 2020, Available online 7 November 2020, Version of Record 16 November 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.116061