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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
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Author: 周二牛 |
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Description: 多焦点图像融合
利用基于双边梯度的锐化标准
相当对应的论文是J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion,"-This is a demo program of the paper J. Tian, L. Chen, L. Ma and W. Yu, "Multi-focus image fusion using a bilateral gradient-based sharpness criterion," Optics Communications, Vol. 284, Jan. 2011, pp. 80-87.
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Author: code fan |
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Description: 4彩色可见光与红外图像融合算法的研究 王鹏 哈尔滨工业大学 硕士 2011年-4 color of visible light and infrared image fusion algorithm research Wang Peng Harbin industrial university master degree in 2011
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Author: fang |
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Description: 2多源遥感图像像素级融合相关技术研究 张寅玥 燕山大学 硕士 2011年-2 multi-source remote sensing image fusion at pixel level related technology research Zhang Yinyue yanshan university master degree in 2011
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Size: 735232 |
Author: fangfang |
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Description: 5红外和可见光图像融合技术研究 薛琴 西南科技大学 硕士 2011年-the infrared and visible light image fusion technology research Xue Qin southwest university of science and technology master degree in 2011
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Size: 17549312 |
Author: fangfang |
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Description: Haghighat分别于2011年和2014年关于特征互信息的图像质量评价的原文和代码，代码于2015年7月作者进行了修改。-Fast-FMI: Non-reference image fusion metric；
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Author: q |
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Description: fast multi exposure fusion Version 1.0 - August 2011.
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Size: 5656576 |
Author: maryam |
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