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相干斑
相关语句
  speckle
    Speckle Denoising Algorithm of SAR Image Based on SOT Structure in Contourlet Domain
    基于Contourlet域SOT结构的SAR图像相干斑抑制算法
短句来源
    The speckle reduction which has been researched for a long time will produce important influence on the post-processing of polarimetric SAR images.
    相干斑问题是SAR和极化SAR图像中多年来一直研究的一个问题,相干斑抑制对SAR和极化SAR图像后处理有着极为重要的影响。
短句来源
    In this dissertation, a new polarimetric speckle reduction method is proposed by using Independent Component Analysis ( ICA ) which based on the multi-polarimetric trait of polarimetric SAR and the independence between texture SAR imagery and speckle.
    本文利用极化SAR图像多极化的特点及无噪图像与相干斑相互独立的统计特性,提出了结合独立分量分析降低极化SAR图像相干斑噪声的新方法,这是独立分量分析技术在遥感领域的新应用。
短句来源
    So this dissertation introduce ICA in the image processing of polarimetric SAR in order to separate texture image and speckle.
    本文将独立分量分析模型引入到极化SAR系统的图像处理模块中,以实现SAR图像和相干斑噪声的分离。
短句来源
    The experiment shows ICA algorithm can separate speckle from polarimetric SAR image effectively and improve the performance of the image.
    实验结果表明,利用独立分量分析算法能有效地从极化SAR图像中分离出相干斑,极大地抑制了相干斑噪声,并且在细节成分和边缘特征上具有很好的保持效果。
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  “相干斑”译为未确定词的双语例句
    Multiple -window Processing of SAR Image with Speckle-smoothing and Edge-preserving
    SAR图像保留边缘多窗口相干斑滤除方法
短句来源
    In the processing of Synthetic Aperture Radar (SAR) Images, a large window size, which is often used in estimating the local statistics of the image and filtering the speclke is needed. On the other hand, contrary, detection of edges and textural features often need small sized windows.
    在处理合成孔径雷达(SAR)图像中,精确地估计图像的局部统计特性和尽可能多地滤除相干斑都需要较大的窗口尺寸,而这与图像边缘和纹理结构的检测需要较小的窗口尺寸相矛盾。
短句来源
    In this method, the edges and the textural features of the SAR images are presented so the the problem of edge smearing in the normal filtering algorithm is avoid and the speckles are filtered effectively.
    此方法使处理后的SAR图像既保存了边缘和纹理结构,避免了以往滤波器中使边缘变模糊的问题,又有效地滤除了相干斑噪声。
短句来源
    The algorithm improves the denoising method based on the SOT structure in the wavelet domain and root coefficients are chosen in a fixed low frequency scale. The improved method chooses root coefficients in two different low frequency scales adaptively according to the homogeneous condition on SAR images.
    对基于小波系数域SOT结构的相干斑抑制算法中固定在一个低频尺度中选择根系数的方法进行了改进,根据SAR图像的匀质性条件自适应地在两个不同低频尺度中选择根系数。
短句来源
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  speckle
We found a new structure named solicitation speckle at the low latitude of the animal pole and near the micropylar apparatus between the ovum envelope and cell membrane in the zygote of fish.
      
The solicitation speckle similar to type I cortical alveoli was very purple in H.E.
      
Moreover, no membrane around the solicitation speckle in TEM was found.
      
In SEM, the solicitation speckle looked flocculent.
      
During cortical reaction, the solicitation speckle played a very important function in arousing cortical reaction.
      
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In the processing of Synthetic Aperture Radar (SAR) Images, a large window size, which is often used in estimating the local statistics of the image and filtering the speclke is needed. On the other hand, contrary, detection of edges and textural features often need small sized windows. Normal filters, which are intermediary ofthe two above, don't give better results. This paper presents a new effective algorithm to solve the problem. In this method, the edges and the textural features of the SAR images are...

In the processing of Synthetic Aperture Radar (SAR) Images, a large window size, which is often used in estimating the local statistics of the image and filtering the speclke is needed. On the other hand, contrary, detection of edges and textural features often need small sized windows. Normal filters, which are intermediary ofthe two above, don't give better results. This paper presents a new effective algorithm to solve the problem. In this method, the edges and the textural features of the SAR images are presented so the the problem of edge smearing in the normal filtering algorithm is avoid and the speckles are filtered effectively.

在处理合成孔径雷达(SAR)图像中,精确地估计图像的局部统计特性和尽可能多地滤除相干斑都需要较大的窗口尺寸,而这与图像边缘和纹理结构的检测需要较小的窗口尺寸相矛盾。一般滤波器都是二者窗口尺寸的均衡,这必然导致二者都不能取得很好的效果。本文提出的新方法有效的解决了这一矛盾。此方法使处理后的SAR图像既保存了边缘和纹理结构,避免了以往滤波器中使边缘变模糊的问题,又有效地滤除了相干斑噪声。

There is speckle in SAR image, and SAR image cant be classified well by using traditional methods. In this paper,a new method of SAR image classification is proposed with the combination of the dynamic and static texture features. The experimental results show the feasibility and effectiveness of the new method.

SAR图像包含有相干斑噪声,传统的方法不能很好地对SAR图像进行分类,本文将反映图像纹理的动态和静态信息特征相结合,提出了一种新的SAR图像分类方法。实验结果证明该方法可以得到较好的分类结果。

The multiplicative nature of the speckle noise in SAR images is a big problem in the image segmentation. The traditional algorithm (can't) obtain a better performance in keeping structural information of the image. A compounding segmentation algorithm based on vision information is proposed in this paper. The speckle noise could be denoised by pyramid directional filter banks in the image pretreatment. The authors also develop an anisotropic kernel mean shift in which the kernel's shape, scale, and orientation...

The multiplicative nature of the speckle noise in SAR images is a big problem in the image segmentation. The traditional algorithm (can't) obtain a better performance in keeping structural information of the image. A compounding segmentation algorithm based on vision information is proposed in this paper. The speckle noise could be denoised by pyramid directional filter banks in the image pretreatment. The authors also develop an anisotropic kernel mean shift in which the kernel's shape, scale, and orientation can adapt to the local structure of the image; and at last the authors revise the image segmentation performance via edge detection. The analysis and experimental results on SAR image demonstrate the effectiveness of this algorithm.

SAR图像存在乘性相干斑的影响,传统的图像分割方法不能很好保持图像的结构信息.文章研究了基于视觉特性的组合分割方法,该方法通过塔型方向滤波器组进行去噪,发展了各向异性的核期望转移滤波器,核的形状、尺度和方向都能自适应图像的局部结构,最后结合边缘检测对图像分割进行修正.分析和实验表明该方法对SAR图像是有效的.

 
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