全极化雷达遥感影像的迭代优化非局部均值去噪法

doi:10.11947/j.AGCS.2019.20180034

测绘学报 ›› 2019, Vol. 48 ›› Issue (8): 1038-1045.doi: 10.11947/j.AGCS.2019.20180034

全极化雷达遥感影像的迭代优化非局部均值去噪法

马晓双, 吴鹏海

安徽大学资源与环境工程学院, 安徽合肥 230601

收稿日期:2018-01-22 修回日期:2018-11-29 出版日期:2019-08-20 发布日期:2019-08-27
作者简介:马晓双(1988-),男,讲师,研究方向为极化SAR影像的处理与解译。E-mail:mxs.88@163.com
基金资助:
国家自然科学基金（41701390）；安徽省自然科学基金（1808085QD108）；安徽省教育厅高校自然科学基金（KJ2017A037）

Polarimetric radar image despeckling by iteratively refined nonlocal means

MA Xiaoshuang, WU Penghai

Department of Resources and Environmental Engineering, Anhui University, Hefei 230601, China

Received:2018-01-22 Revised:2018-11-29 Online:2019-08-20 Published:2019-08-27
Supported by:
The National Natural Science Foundation of China (No. 41701390);The Natural Science Foundation of Anhui Province (No. 1808085QD108);The Natural Science Foundation of the Education Department of Anhui Province (No. KJ2017A037)

摘要/Abstract

摘要： 相干斑的存在严重降低了全极化合成孔径雷达（polarimetric synthetic aperture radar，PolSAR）的影像质量，对相干斑进行抑制是使用PolSAR数据必不可少的预处理程序。本文提出了一种迭代优化的PolSAR非局部均值去噪方法。该方法在每次迭代去噪过程中，通过同时考虑原始影像全极化噪声统计特性和前一次迭代所得影像的全极化信息来完善像素间极化相似性的度量，从而实现对影像更精准的估计。试验部分利用模拟的PolSAR数据和真实的PolSAR影像进行了算法效果的验证。结果表明：去噪算法在显著抑制影像噪声水平的同时，也能较好地保持影像的边缘和极化特性等细节信息。

关键词: 极化合成孔径雷达, 相干斑滤波, 非局部均值, 似然比检验

Abstract: The presence of speckle degrades the quality of the polarimetric synthetic aperture radar (PolSAR) image, hence despeckling is an essential procedure before using SAR images to obtain land-cover information in most cases. In this paper, a PolSAR filtering method based on iteratively refined nonlocal means is presented. In each iteration step of the proposed method, by considering both the statistical trait of the original image and the information of the image obtained in last iteration, the polarimetric similarity between pixels is refined, so as to improve the estimation results. Experiments on a simulated PolSAR image and two real PolSAR images revealed the positive despeckling performances of our proposed method:the speckle is reduced to a large degree, and the image details, such as the edges and the polarimetric traits, are effectively preserved.

Key words: polarimetric synthetic aperture radar, speckle filtering, nonlocal means, likelihood-ratio test

中图分类号:

P237

马晓双, 吴鹏海. 全极化雷达遥感影像的迭代优化非局部均值去噪法[J]. 测绘学报, 2019, 48(8): 1038-1045.

MA Xiaoshuang, WU Penghai. Polarimetric radar image despeckling by iteratively refined nonlocal means[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(8): 1038-1045.

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全极化雷达遥感影像的迭代优化非局部均值去噪法

Polarimetric radar image despeckling by iteratively refined nonlocal means

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