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1)  complex coherent noise trai
复杂相干噪声系列
2)  complex noise
复杂噪声
1.
This algorithm is good and balanced for various plus noise, multiplicative noise, or complex noise.
该算法对各种加性、乘性噪声的滤波性能优异且均衡,适合滤除图像序列中的复杂噪声。
2.
A new adapt filtering algorithm based on minimum cumulation-squared error(MCSE) of gradients in neighborhood is proposed for infrared small dim moving target in strong complex noise entironment.
我们提出了一种新的基于强复杂噪声背景的红外微弱运动目标集成检测算法。
3)  coherent noises
相干噪声
1.
The τ-p transform is one of the important techniques to eliminate coherent noises and separate wave fields,but the operator aliasing artifacts and edge effect artifacts affect its resolution,therefore the conventional τ-p transform can t be used simply.
τ-p变换是消除相干噪声、波场分离的重要方法之一,但常规τ-p变换存在算子假频和端点效应,分辨率太低,无法直接使用。
2.
It is necessary to remove coherent noises and random noises in seismic data processing in order to improve the signal-to-noise ratio.
要提高地震资料的信噪比,需要消除地震资料中的随机噪声和相干噪声。
4)  coherent noise
相干噪声
1.
Study on coherent noise attenuation using radial trace transform filtering;
径向道变换压制相干噪声方法研究
2.
Study on using radial trace transform to depress coherent noise in high-density acquired data;
径向道变换压制高密度采集资料中的相干噪声
3.
Self-adaptive coherent noise attenuation technique;
自适应相干噪声衰减技术
5)  Speckle Noise
相干斑噪声
1.
Speckle Noise Separation is an important problem in the remote sensing technology application.
相干斑噪声分离是遥感技术应用中的一个重要问题,依据相干斑噪声图像的产生机理和信道特征,提出了适合非线性混迭环境下的相干斑噪声分离模型,设计了一个基于非线性混迭的相干斑噪声分离算法,实验证明,经过算法处理,有效地降低了图像的相干斑指数,保持了图像的细节特征。
2.
An efficient method based on multiresolution hidden Markov model of wavelet-field to suppress the speckle noise in synthetic aperture radar (SAR) images is presented.
针对合成孔径雷达(SAR)图像固有的相干斑噪声,提出了基于小波域多尺度隐马尔可夫模型(HMM)的去噪方法。
3.
Synthetic aperture radar(SAR) images are corrupted by multiplicative speckle noise which decreases correlation between adjacent pixels,increases the information entropy and limits the performance of the classical coder/decoder algorithms in spatial domain.
SAR图像固有的乘性相干斑噪声降低了图像的相关性,增加了信息熵,影响了图像压缩的性能。
6)  speckle [英]['spekl]  [美]['spɛkḷ]
相干斑噪声
1.
Classification of SAR Images in the Presence of Speckle;
相干斑噪声背景下的SAR图像分类方法研究
2.
This paper mainly deals with speckle reduction in SAR images based on the spatial orientation tree structure in the wavelet domain.
论述了在小波域中通过空间向树结构对合成孔径雷达(SAR)图像相干斑噪声的抑制。
3.
This paper mainly deal with a new speckle reduction algorithm in high resolution SAR images based on wavelet transform.
文章主要提出了一种新的基于小波变换对高分辨率合成孔径雷达(SAR)图像相干斑噪声抑制的算法。
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