期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A non-local vectorial total variational model for multichannel SAR image speckle suppression 被引量:1
1
作者 Xi Rubing Wang Zhengming +2 位作者 Xie Meihua Zhao Xia Wang Weiwei 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2015年第3期770-779,共10页
Abstract This paper aims at the multichannel synthetic aperture radar (SAR) image speckle reduc- tion. This paper proposes a novel energy minimized regularization model for multichannel image denoising, which is an ... Abstract This paper aims at the multichannel synthetic aperture radar (SAR) image speckle reduc- tion. This paper proposes a novel energy minimized regularization model for multichannel image denoising, which is an extension of the non-local total variational model for gray-scale image. It contains two terms, namely the vectorial data fidelity term and the non-local vectorial total variation term. The latter is constructed by high-dimensional non-local gradient that contains the structure information of the multichannel image. The existence and the uniqueness of the solution of the model are proved. A fixed point iterative algorithm is designed to acquire the solution of this model. The convergence property of this algorithm is proved as well. This model is applied to the multipolarimetric and multi-temporal RAI)ARSAT-2 images despeckling. The result shows that this model performs better than the original vectorial total variational model on texture preserving. 展开更多
关键词 Fixed point iteration Multichannel image denois-ing NON-LOCAL SAR image despeckling vectorial total variation
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部