| 1. | Speckle noise suppression and filtering methods for spaceborne sar images
图像的斑点噪声抑制与滤波研究 |
| 2. | 1 . speckle noise suppression
Sar图像去噪算法研究。 |
| 3. | The method not only removes the speckle noise , but also enhances contrast
即去除了闪斑噪声，又提高了图像的清晰度。 |
| 4. | In this paper , we propose a compression scheme with speckle noise reduction
本文中我们提出了一种结合相干斑抑制的高效的压缩合成孔径雷达图像整体方案。 |
| 5. | Besides , many classification errors are caused by mixed pixels and speckle noise of the sar image
另外,许多分类错误是由sar图像的像素点类别混淆和相干斑噪声干扰引起的。 |
| 6. | Both filtering methods can significantly reduce speckle noise , and at the same time preserve the image notable details
两种算法都可以在滤除斑点噪声的同时较好地保留图像的突出细节特征。 |
| 7. | In this paper , a nonlinear multiwavelet transform adaptive threshold value method is proposed to suppress speckle noise
摘要文章提出了一种新的用于斑点噪声抑制的非线性多小波变换自适应阈值算法。 |
| 8. | The arising mechanism , model and statistical characteristics of speckle noise are described and the popular filters are analyzed
首先介绍了斑点噪声产生机理、模型和统计特征，对常用的图像滤波器进行了分析。 |
| 9. | After converting multiple speckle noise to additional gaussian noise , we achieve the mmse estimate of sar image wavelet coefficient
将乘性噪声转化为近似加性高斯噪声，可以获得sar图像小波系数的最小方差估计。 |
| 10. | Two methods of reducing the speckle noise and improving the depth resolution in optical 3d profilometry with laser sheet are proposed in the paper
本文提出了两种激光片光三维传感中减小激光散斑影响，提高深度分辨率的办法。 |
