• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>New aspects of signal processing, computational geometry and artificial vision >De-speckling of SAR Images by Directional smoothing of wavelet coefficients and De-blurring
【24h】

De-speckling of SAR Images by Directional smoothing of wavelet coefficients and De-blurring

机译：通过小波系数的方向平滑和去模糊对SAR图像进行去斑

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

This paper represents a tow-step approach to improve de-speckling in SAR images. Firstly, Smoothing of the coefficients of the highest wavelet sub-bands is applied on decomposed wavelet coefficients. A Gaussian low pass filter using a trous algorithm has been used to decompose the image. Then, the learning of a Kohonen self organizing map (SOM) is performed directly on the de-noised image to take out the blur. All traditional speckle reduction approaches cause artificial structures, blurred and smoothed image, so intelligent de-blurring technique captured these problems. Quantitative and qualitative comparisons of the results obtained by the new method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction in SAR images.
机译：本文提出了一种改进SAR图像去斑点的拖曳方法。首先，对分解后的小波系数应用最高小波子带系数的平滑处理。使用了trous算法的高斯低通滤波器已被分解。然后，直接在去噪图像上执行Kohonen自组织图（SOM）的学习以消除模糊。所有传统的斑点减少方法都会导致人造结构，图像模糊和平滑，因此智能去模糊技术可以解决这些问题。通过新方法获得的结果与其他散斑降噪技术获得的结果的定量和定性比较，证明了其在SAR图像中降低散斑的性能更高。

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