| 基于最优非线性扩散的快速相干斑抑制算法研究 |
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| 引用本文： | 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. |
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| 作者姓名： | 郑世超 冯文森 牛建伟 |
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| 作者单位： | 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 |
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| 摘 要： | 合成孔径雷达（Synthetic Aperture Radar，SAR）图像相干斑去噪一直以来都是SAR图像处理的一项关键技术.本文提出一种基于最优非线性扩散的快速相干斑抑制算法，该算法使用最近提出的基于可训练非线性扩散的图像复原框架，并针对合成孔径雷达强度图像，结合相干斑噪声的统计特性，训练非线性扩散过程中的滤波器参数和响应函数参数.实验结果表明，该算法性能与PPBit、SAR-BM3D等主流相干斑去噪算法性能相当甚至更优；同时与这些算法相比，该算法计算效率能够提高75%以上，并且适于并行运算实现.
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| 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 |
| 收稿时间： | 2016-06-06 |
A Fast and Accurate Despeckling Method with Optimized Nonlinear Diffusion |
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| ZHENG Shi-chao,FENG Wen-sen,NIU Jian-wei.A Fast and Accurate Despeckling Method with Optimized Nonlinear Diffusion[J].Acta Electronica Sinica,2017,45(12):2825-2831. |
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| Authors: | ZHENG Shi-chao FENG Wen-sen NIU Jian-wei |
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| Affiliation: | 1. State Key Laboratory of Virtual Reality Technology and Systems, School of Computer Science and Engineering, Beihang University, Beijing 100191, China;
2. School of Automation, University of Science and Technology Beijing, Beijing 100083, China |
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| 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. |
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| Keywords: | SAR intensity image despeckling optimized nonlinear reaction diffusion model convolutional neural networks |
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