Description: SAR图像斑点噪声是一个影响SAR图像处理的重要因素，这里提供了斑点噪声滤除的几种方法-SAR images speckle is a SAR image processing effects of the important factors, here to provide a speckle reduction in several ways Platform: |
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Author:张璇 |
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Description: SAR图像斑点噪声是一个影响SAR图像处理的重要因素，这里提供了斑点噪声滤除的几种方法-SAR images speckle is a SAR image processing effects of the important factors, here to provide a speckle reduction in several ways Platform: |
Size: 2048 |
Author:张璇 |
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Description: SAR图像斑点噪声抑制方法与应用研究，里面给出里处理Sar
影像的算法-SAR image speckle noise reduction methods and applied research, which is given to deal with Sar Imaging Algorithm Platform: |
Size: 354304 |
Author:徐林林 |
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Description: 基于各向异性扩散方程的一款经典的ＳＡＲ图像相干斑噪声抑制的算法实现，可以直接用的，效果很好！-Anisotropic diffusion equation based on a classic SAR image speckle noise reduction algorithm can be directly used, very good! Platform: |
Size: 574464 |
Author:陈少波 |
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Description: 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向
异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚
集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和
MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
出新模型下的最大后验概率(MAP) 分割公式。对实测SAR 图像进行了仿真,仿真结果和分析表明:与小波域上的
HMT2MRF 融合分割及Contourlet 域上HMT 和MRF 分割算法相比,该算法在抑制斑点噪声的同时,有效地提高
了SAR 图像的分割精度- In view of the speckle noise in the synthetic aperture radar (SAR) images , and based on the Contourlet′s
advantages of multiscale , localization , directionality , and anisot ropy , a new SAR image fusion segmentation
algorithm based on the pe rsis tence and clustering in the Contourlet domain is p roposed. The algorithm captures the
pe rsis tence and clus tering of the Contourlet t ransform , which is modeled by hidden Markov t ree (HMT) and Markov
random field (MRF) , respectively. Then , these two models are fused by fuzzy logic , resulting in a Contourlet
domain HMT2MRF fusion model . Finally , the maximum a poste rior (MAP) segmentation equation for the new fusion
model is deduced. The algorithm is used to emulate the real SAR images . Simulation results and analysis indicate that
the p roposed algorithm effectively reduces the influence of multiplicative speckle noise , imp roves the segmentation
accuracy and p rovides a bet te r visual quality for SAR images ove r the Platform: |
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Author:周二牛 |
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Description: THIS MATLAB CODE REDUCE THE SPECKLE NOISE IN SAR IMAGE, IT USE WAVELET FILTER THEN USED CASCADE THREE FILTERS IN TIME DOMAIN
(HYBRID TIME AND FREQUENCY DOMAIN).
THIS CODE NEED SOME MODIFICATIONS SINCE THERE ARE SOME PROBLEMS LIKE BY COMPUTE PSNR AND THE WAVELET HAS SOME ERRORS IN COMPUTE THE DE-NOISING Platform: |
Size: 1214464 |
Author:same |
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Description: This paper analyses impact of using averaging filtering on quality of SAR images. These are commonly corrupted by
multiplicative complex correlated noise (speckle) and by additive white Gaussian noise. Methods presented in this
paper: multilook algorithm and averaging filters are examined in the context of additive white Gaussian noise reduction
and computational demands. In order to obtain high cross-range resolution of SAR images Map-Drift Autofocus
algorithm is also employed Platform: |
Size: 698368 |
Author:yas |
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Description: Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。-Functions for Matlab for the denoising of a SAR image corrupted
by multiplicative speckle noise with the technique described in
"A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage",
written by S. Parrilli, M. Poderico, C.V. Angelino and L. Verdoliva Platform: |
Size: 2434048 |
Author:聂祥丽 |
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Description: BM3D的程序，基于最小均方误差准则。很好用-Date released 1/08/2012, version 0.1.
Functions for Matlab for the denoising of a SAR image corrupted
by multiplicative speckle noise with the technique described in
A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage Platform: |
Size: 2460672 |
Author:比按 |
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Description: 孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别
等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平
滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。
本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑
抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定
量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets.
And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat
At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.) Platform: |
Size: 1651712 |
Author:pumpking |
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Search - speckle noise in SAR