A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching

Xunwei Xie; Yongjun Zhang; Xiang Wang; Daifeng Peng

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A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching

机译：各向异性高斯和均匀分布的混合似然模型用于精确斜像点匹配

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摘要

In this letter, we propose a mixture likelihood model for accurate oblique image point matching. The basic prior assumption is that the noises are anisotropic with zero mean and different covariances in

机译：在这封信中，我们提出了一种混合似然模型，用于精确的斜像点匹配。基本的先验假设是，噪声是各向异性的，均值为零，并且在

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来源
《IEEE Geoscience and Remote Sensing Letters》 |2019年第9期|1437-1441|共5页
作者
Xunwei Xie; Yongjun Zhang; Xiang Wang; Daifeng Peng;
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作者单位

School of Remote Sensing and Information Engineering Wuhan University Wuhan China;

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正文语种 eng
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关键词
Estimation; Adaptation models; Interpolation; Kernel; Geometry; Remote sensing; Coherence;

机译：估计;适应模型;插值核心;几何;遥感;连贯性;

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1. Using the Model of a Mixture of a Uniform Distribution and a Von Mises Distribution for Segmentation of Anisotropic Images [J] . I. S. Gruzman Optoelectronics, Instrumentation and Data Processing . 2014,第2期

机译：使用均匀分布和Von Mises分布的混合模型分割各向异性图像
2. Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions [J] . Zhou Yi, Zhu Hongqing Mathematical Problems in Engineering . 2018,第1期

机译：基于广义伽玛和高斯分布的非对称混合模型中修整似然估计器的图像分割
3. Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions [J] . Zhou Yi, Zhu Hongqing Mathematical Problems in Engineering . 2018,第PTa1期

机译：基于广义伽玛和高斯分布的非对称混合模型中修整似然估计器的图像分割
4. A fast, accurate approximation to log likelihood of Gaussian mixture models [C] . Dognin, P.L., Goel, V., Hershey, J.R., IEEE International Conference on Acoustics, Speech and Signal Processing;ICASSP 2009 . 2009

机译：快速，准确的近似值以记录高斯混合模型的似然
5. History matching of three-dimensional reservoir models with complex non-Gaussian distributions of the model parameters. [D] . Agbalaka, Chinedu C. 2010

机译：具有模型参数的复杂非高斯分布的三维油藏模型的历史匹配。
6. A Gaussian Mixture Model Approach for Estimating and Comparing the Shapes of Distributions of Neuroimaging Data: Diffusion-Measured Aging Effects in Brain White Matter [O] . Namhee Kim, Moonseong Heo, Roman Fleysher, 2014

机译：估计和比较神经影像数据分布形状的高斯混合模型方法：脑白质的扩散测量衰老效应
7. Image Segmentation Using a Trimmed Likelihood Estimator in the Asymmetric Mixture Model Based on Generalized Gamma and Gaussian Distributions [O] . Yi Zhou, Hongqing Zhu 2018

机译：基于广义伽马和高斯分布的非对称混合模型中的修剪似然估计的图像分割
8. MALCOM X: Combining maximum likelihood continuity mapping with Gaussian mixture models [R] . Hogden, J. , Scovel, J. C. 1998

机译：maLCOm X：将最大似然连续性映射与高斯混合模型相结合

A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching

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