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相干斑
相关语句
  speckle
    The influence of speckle within SAR images should be taken into consideration during edge extraction.
    边缘提取是图像分析的基础 ,但由于SAR图像中存在强的、乘性的相干斑噪声 ,使在光学图像中有效的边缘检测器对于SAR图像不再适合 .
短句来源
    For speckle consisted in SAR image,good segmentation result can't be gotten with traditional methods. In the paper,a new method of SAR Image segmentation is proposed with the combination of the features of SAR image and fractal theory.
    SAR(合成孔径雷达)图像包含有相干斑噪声,传统方法不能很好对其进行分割,文章将SAR图像的特点和分形理论相结合,提出了一种新的SAR图像分割方法。
短句来源
    SAR Image includes much useful information. The edge character abstraction of SAR image is very important for battlefield spy and attacking effect evaluation,but the serious speckle of SAR image adds great difficulty to edge detection of SAR image.
    合成孔径雷达(SAR)图像包含丰富的信息,对SAR图像边缘特征的提取对战场侦察、打击效果评估等具有重要的意义,但SAR严重的相干斑噪声,给SAR图像边缘检测增加了极大的难度。
短句来源
  “相干斑”译为未确定词的双语例句
    Simulation results clearly testify that the new algorithm is efficient.
    仿真实验表明该算法对于有相干斑污染的SAR图边缘提取是很有效的 .
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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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The influence of speckle within SAR images should be taken into consideration during edge extraction. Since wavelet transform has satisfactory local characteristics for the analysis to non periodical or sudden change signals, the multi scale edges of images can be extracted. But, at the same time, a lot of false edges would be extracted by this method. The effect of speckle on edge extraction is suppressed by adopting threshold of constant false alarm rates. Simulation results clearly testify that the new...

The influence of speckle within SAR images should be taken into consideration during edge extraction. Since wavelet transform has satisfactory local characteristics for the analysis to non periodical or sudden change signals, the multi scale edges of images can be extracted. But, at the same time, a lot of false edges would be extracted by this method. The effect of speckle on edge extraction is suppressed by adopting threshold of constant false alarm rates. Simulation results clearly testify that the new algorithm is efficient.

边缘提取是图像分析的基础 ,但由于SAR图像中存在强的、乘性的相干斑噪声 ,使在光学图像中有效的边缘检测器对于SAR图像不再适合 .基于小波变换的边缘检测器 ,由于采用了固定的阈值 ,在SAR图像边缘提取的同时也会检测出很多虚假的边缘 ,特别是在图像的亮区 .因而 ,本文提出了具有恒定误警率的自适应变化阈值 ,并基于小波变换的多分辨率分析 ,有效地提取边缘特征 .仿真实验表明该算法对于有相干斑污染的SAR图边缘提取是很有效的 .

For speckle consisted in SAR image,good segmentation result can't be gotten with traditional methods.In the paper,a new method of SAR Image segmentation is proposed with the combination of the features of SAR image and fractal theory.In the method,firstly,with two different kinds of windows around each image pixel,the fractal dimensions are distilled based on the adaptively region choosing method,then the average value of the two fractal dimensions is given to the image pixel as the fractal texture feature.Second,SAR...

For speckle consisted in SAR image,good segmentation result can't be gotten with traditional methods.In the paper,a new method of SAR Image segmentation is proposed with the combination of the features of SAR image and fractal theory.In the method,firstly,with two different kinds of windows around each image pixel,the fractal dimensions are distilled based on the adaptively region choosing method,then the average value of the two fractal dimensions is given to the image pixel as the fractal texture feature.Second,SAR image is filtered according to the features of its dis-tribution in the wavelet field,at last,SAR image is segmented according to the vector composed of the fractal texture features and gray level of filtered SAR image.The experiment results show that the new method is efficient in SAR im-age segmentation.

SAR(合成孔径雷达)图像包含有相干斑噪声,传统方法不能很好对其进行分割,文章将SAR图像的特点和分形理论相结合,提出了一种新的SAR图像分割方法。该方法首先对原始SAR图像每个像元为中心取两种不同窗口,计算在该两种窗口下基于区域自选的分形维数并求均值,将其作为分形纹理特征。然后根据SAR图像噪声在小波域中的分布特点对SAR图像进行滤波,最后以SAR图像分形纹理特征和滤波后的灰度组成特征向量对SAR图像进行分割。实验结果分析表明,该方法是一种有效的SAR图像分割方法。

SAR Image includes much useful information.The edge character abstraction of SAR image is very important for battlefield spy and attacking effect evaluation,but the serious speckle of SAR image adds great difficulty to edge detection of SAR image.In the basic of analyzing characteristics of usual edge detection operators,this paper achieves advantages and disadvantages of each differential coefficient detection operators.From the view of information fusion,this paper brings forward a fusion method used in...

SAR Image includes much useful information.The edge character abstraction of SAR image is very important for battlefield spy and attacking effect evaluation,but the serious speckle of SAR image adds great difficulty to edge detection of SAR image.In the basic of analyzing characteristics of usual edge detection operators,this paper achieves advantages and disadvantages of each differential coefficient detection operators.From the view of information fusion,this paper brings forward a fusion method used in SAR image edge detection.This method improves the quality of edge detection and reduces computing capacity and the result of experiment testifies that this method holds image's edge character and restrains the speckle of SAR image.

合成孔径雷达(SAR)图像包含丰富的信息,对SAR图像边缘特征的提取对战场侦察、打击效果评估等具有重要的意义,但SAR严重的相干斑噪声,给SAR图像边缘检测增加了极大的难度。该文在分析常用图像边缘检测算子性能的基础上,考虑各微分检测算子检测特性的优缺点,从信息融合角度出发,提出了一种针对SAR图像保留边缘的融合方法,在计算量不显著增加的前提下,提高了边缘检测的质量,实验结果证明此方法既保留了图像的边缘特征,又一定程度地抑制了图像的噪声,效果较好。

 
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