电子学报2017，Vol.45Issue(12)：2825-2831,7.DOI:10.3969/j.issn.0372-2112.2017.12.001
基于最优非线性扩散的快速相干斑抑制算法研究
A Fast and Accurate Despeckling Method with Optimized Nonlinear Diffusion
郑世超 1冯文森 2牛建伟1
作者信息
- 1. 北京航空航天大学计算机学院虚拟现实技术与系统国家重点实验室,北京100191
- 2. 北京科技大学自动化学院,北京100083
- 折叠
摘要
Abstract
SAR (Synthetic Aperture Radar) despeckling is one of the key technologies in SAR image processing.This paper proposes an efficient despeckling algorithm based on optimized nonlinear diffusion model,which exploits the trainable nonlinear reaction diffusion framework.For the despeckling task,we train the parameters of linear filters and the influence functions,taking into account the speckle noise statistics of the intensity SAR image.Experimental results show that the proposed method provides comparable or even better results in comparison with PPBit and SAR-BM3D.Meanwhile,our proposed model is of high computation efficiency,and is well-suited for parallel computation.关键词
合成孔径雷达强度图像/相干斑去噪/非线性扩散/卷积神经网络Key words
SAR intensity image/despeckling/optimized nonlinear reaction diffusion model/convolutional neural networks分类
信息技术与安全科学引用本文复制引用
郑世超,冯文森,牛建伟..基于最优非线性扩散的快速相干斑抑制算法研究[J].电子学报,2017,45(12):2825-2831,7.
