首页> 外文期刊>Electronics Letters >Despeckling algorithm for reducing speckle noise in images generated from active sensors
【24h】

Despeckling algorithm for reducing speckle noise in images generated from active sensors

机译:用于减少活动传感器生成的图像中散斑噪声的检测算法

获取原文
获取原文并翻译 | 示例
           

摘要

Synthetic aperture radar (SAR) images can be utilised in various fields because they are not affected by the time of day or weather conditions. However, in the process of employing active sensors to obtain a SAR image, speckle noise is generated in the image. Speckle noise degrades the ability of computer vision to observe the Earth. To improve imaging performance, an algorithm for removing speckle noise is necessary. For this purpose, the authors propose a speckle-noise removal algorithm. A speckle reducing anisotropic diffusion filter is employed as a pre-processing filter, in which multiplicative speckle noise can be converted into additive noise using a logarithmic transformation. To remove the additive noise, they use a weighted guided image filter. Experimental results indicate that the proposed method exhibits improved speckle noise suppression and edge preservation results compared with those of existing methods.
机译:合成孔径雷达(SAR)图像可以在各种领域中使用,因为它们不受日期或天气条件的时间。然而,在采用活性传感器以获得SAR图像的过程中,在图像中产生斑点噪声。斑点噪音会降低计算机视觉观察地球的能力。为了提高成像性能,需要一种用于去除斑点噪声的算法。为此目的,作者提出了一种散斑噪声清除算法。散斑减小各向异性扩散滤光器用作预处理过滤器,其中可以使用对数变换转换成乘法斑点噪声。要消除添加剂噪声,它们使用加权引导图像滤波器。实验结果表明,与现有方法相比,该方法表现出改善的斑点噪声抑制和边缘保存结果。

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