speckle noise

since sar images have speckle noise, a new adaptive particle swarm clustering algorithm using neighborhood information is proposed for improving the clustering results.

由于SAR图像本身容易受到斑点噪声干扰，为提高聚类效果，提出了一种结合邻域信息的自适应粒子群聚类算法。

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Edge Similar Degree and Its Application in the Comparison of Suppressing Speckle Noise Algorithm

边缘相似度及其在散斑噪声抑制算法比较中的应用

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Three factors of restraining speckle noise in detection system, coherence, phase difference and polarization of the incident ray, were analyzed in detail, and the relations between these factors and speckle contrast were also presented.

对采用激光照明的测量系统中散斑形成的三个重要因素，即入射光束的相干性、相位差和偏振特性进行了详细的理论分析，并给出了这些因素与散斑对比度的变化关系。

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speckle noise is an intrinsic property of synthetic aperture radar (sar) imagery.

相干斑噪声是SAR图像的固有特点。

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The mean square error of the multiplicative model for speckle noise

斑纹噪声相乘模型的误差

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The practical RFI and speckle noise suppression techniques for ultra-wideband SAR are proposed.

提出了实用的 超宽带 SAR射频干扰(RFI)和相干斑噪声抑制技术.

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The effects to height evaluation of the main noises, i.e. ocean surface backscatter speckle noise and receiver thermal noise, are analyzed. By analyzing the returned signals of several typical sea states, the results have shown that the system height measurement precision can be ± 2cm.

分析了主要噪声，即海面斑点噪声和接收机热噪声对高度估值的影响，通过对几种典型海况海面回波的模拟分析表明，系统则高精度可达±2cm。

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Methods of reducing the speckle noise and improving the depth resolution in optical 3-D profilometry with laser sheet are proposed in the paper.

提出了两种在激光片光三维传感中降低散斑噪声、提高深度分辨率的方法。

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due to the prominent blood speckle noise in real ivus images, a new method based on speckle noise reduction of ultrasound image sequences and the snake model was proposed for detecting automatically the edge of ivus images.

针对实际IVUS图像血液斑点噪声比较严重的情况，提出一种基于超声序列图像斑点噪声抑制和活动轮廓模型（Snake模型）的IVUS图像边缘提取方法。

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A new method of reducing speckle noise for SAR ( synthetic aperture radar) image is proposed, which combines wavelet transform and adaptive Wiener filter based SAR image scene heterogeneity. It can better preserve clutter edge and point target.

基于SAR（合成孔径雷达）图像杂波结构，结合小波变换和自适应维纳滤波提出了一种新的抑制SAR图像相干斑噪声方法，该方法能够较好保留杂波边缘和点目标。

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Speckle noise can be eliminated by nonlinear filter designed by wavelet transform.

小波非线性滤波器还可消除散斑噪声.

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Speckle noise of Synthetic Aperture Radar ( SAR) affects image quality and image interpretation seriously.

合成孔径雷达（SAR）的相干斑噪声严重影响图像质量，降低图像的可判读性。

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The centroid tracking algorithm is no longer suitable because of the speckle noise in ladar image.

然而常规形心跟踪算法因激光雷达图像受到散斑噪声影响而变得不适合.

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filtering algorithm on underwater laser image stained by speckle noise

散斑噪声污染的激光水下图像滤波算法

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first, a temporal/ spatial filtering method which can suppress speckle noise significantly was used to preprocess the ivus images.

首先采用一种时/空滤波方法对IVUS图像进行降噪预处理，该方法能够有效地抑制IVUS图像的血液斑点噪声；

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Instead of using the homomorphic filter which is used to get rid of multiple noise and is a biased estimator, this algorithm translates speckle into locally stationary additive white noise.

该算法不同于有偏的去除乘性噪声的同态滤波算法，而是将噪声转化为局部平稳的加性白噪声。

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The Method and Study of Reducing Speckle Noise in SAR Image

抑制SAR图像相干斑噪声方法研究

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