...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising
【24h】

NL-SAR: A Unified Nonlocal Framework for Resolution-Preserving (Pol)(In)SAR Denoising

机译：NL-SAR：用于保全（Pol）（In）SAR降噪的统一非本地框架

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Speckle noise is an inherent problem in coherent imaging systems such as synthetic aperture radar. It creates strong intensity fluctuations and hampers the analysis of images and the estimation of local radiometric, polarimetric, or interferometric properties. Synthetic aperture radar (SAR) processing chains thus often include a multilooking (i.e., averaging) filter for speckle reduction, at the expense of a strong resolution loss. Preservation of point-like and fine structures and textures requires to adapt locally the estimation. Nonlocal (NL)-means successfully adapt smoothing by deriving data-driven weights from the similarity between small image patches. The generalization of nonlocal approaches offers a flexible framework for resolution-preserving speckle reduction. We describe a general method, i.e., NL-SAR, that builds extended nonlocal neighborhoods for denoising amplitude, polarimetric, and/or interferometric SAR images. These neighborhoods are defined on the basis of pixel similarity as evaluated by multichannel comparison of patches. Several nonlocal estimations are performed, and the best one is locally selected to form a single restored image with good preservation of radar structures and discontinuities. The proposed method is fully automatic and handles single and multilook images, with or without interferometric or polarimetric channels. Efficient speckle reduction with very good resolution preservation is demonstrated both on numerical experiments using simulated data, airborne, and spaceborne radar images. The source code of a parallel implementation of NL-SAR is released with this paper.
机译：斑点噪声是相干成像系统（例如合成孔径雷达）中的固有问题。它会产生强烈的强度波动，并妨碍图像分析和估计局部辐射，偏振或干涉特性。因此，合成孔径雷达（SAR）处理链通常包括用于减少斑点的多视（即平均）滤波器，但代价是强烈的分辨率损失。保存点状和精细的结构和纹理需要局部适应估计。非本地（NL）表示通过从小图像块之间的相似性得出数据驱动的权重来成功地适应平滑。非局部方法的一般化为保留分辨率的斑点减少提供了灵活的框架。我们描述了一种通用方法，即NL-SAR，该方法建立了扩展的非局部邻域，以对幅度，极化和/或干涉SAR图像进行降噪。这些邻域是根据像素相似度定义的，像素相似度是通过补丁的多通道比较来评估的。进行了几种非局部估计，并且局部选择了最佳估计，以形成具有雷达结构和不连续性的良好保存的单个恢复图像。所提出的方法是全自动的，可以处理带有或不带有干涉或偏振通道的单眼和多眼图像。在使用模拟数据，机载和星载雷达图像进行的数值实验中，都证明了有效的散斑减少和很好的分辨率保持。本文发布了NL-SAR并行实现的源代码。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号