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用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序-for hyperspectral image processing Matlab procedures, including image fusion, dimensionality reduction and image of the maximum likelihood classification procedures
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A one-dimensional calibration object consists of three or more collinear points with known relative positions.
It is generally believed that a camera can be calibrated only when a 1D calibration object is in planar motion or rotates
around a &mac
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经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file.
Note: For constructong variance-covariance matrix must be generic binary file.
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强壮的人脸识别系统，发表于cvpr2011年，程序是应用matlab实现-Recently the sparse representation (or coding) based classifi cation (SRC) has been successfully used in face recognition. In SRC, the testing image is represented as
a sparse linear combination of the trai
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当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。- This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood E
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人脸识别的稀疏表示识别方法将稀疏表示的保真度表示为余项的L2范数，但最大似然估计理论证明这样的假设要求余项服从高斯分布，实际中这样的分布可能并不成立，特别是当测试图像中存在噪声、遮挡和伪装等异常像素，这就导致传统的保真度表达式所构造的稀疏表示模型对上述这些情况缺少足够的鲁棒性。而最大似然稀疏表示识别模型则基于最大似然估计理论，将保真度表达式改写为余项的最大似然分布函数，并将最大似然问题转化为一个加权优化问题-Recently the sparse representation (or codin
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We present a method to learn and recognize object class
models from unlabeled and unsegmented cluttered scenes
in a scale invariant manner. Objects are modeled as flexible
constellations of parts. A probabilistic representation is
used for al
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The Phase Gradient Autofocus (PGA) algorithm
has been widely used in Spotlight Synthetic Aperture
Radar (SAR) to remove motion-induced blurs in the
images. The PGA algorithm has been proven to be a superior
autofocus method. PGA assumes a nar
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利用极大似然估计进行盲反卷积复原，通过多帧图像约束，效果较好-Use of maximum likelihood estimates for blind deconvolution restoration by the multi-frame image constraint, the better
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Maximum Likelihood Algorithms for Image
Reconstruction in Positron Emission Tomography
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我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification
using a single image. Within each local patch in the
image,
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经典的最大似然法分类法的C语言实现，有助于深入了解遥感分类原理。-This program implements the maximum likelihood classification procedure. ouput:1.classified image, and 2. probability file.Note: For constructong variance-covariance matrix must be generic binary file.
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实现简单的遥感图像分类处理,使用的语言为C++，其中监督分类为最大似然算法，非监督分类为ISODATA算法-Can achieve a simple remote sensing image classification, the language used is C++, which is the maximum likelihood supervised classification algorithms, unsupervised classification algorithm for
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In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in
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This MATLAB software implements the denoising algorithm (the Probabilistic
Patch-Based filter) for images damaged by multiplicative Nakagami-Rayleigh
noise as presented in: Iterative Weighted Maximum Likelihood Denoising
with Probabilistic Patc
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用于高光谱图像处理的matlab程序，包括图像融合，降维和图像的极大似然分类程序-For hyperspectral image processing matlab procedures, including image fusion, image dimension reduction and maximum likelihood classification procedure
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在MATLAB中求图像纹理特征，CvQYOVl参数对于初学者具有参考意义，单径或多径瑞利衰落信道仿真，最大似然（ML）准则和最大后验概率（MAP）准则，wcfydnB条件一种流形学习算法（很好用），采用波束成形技术的BER计算。- In the MATLAB image texture feature, CvQYOVl parameter For beginners with a reference value, Single path or multipath Rayleigh fading
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匹配追踪和正交匹配追踪，GSM中GMSK调制信号的产生，主要为数据分析和统计，最大似然（ML）准则和最大后验概率（MAP）准则，用MATLAB实现的压缩传感，FMCW调频连续波雷达的测距测角，对信号进行频谱分析及滤波，在MATLAB中求图像纹理特征。- Matching Pursuit and orthogonal matching pursuit, GSM is GMSK modulation signal generation, Mainly for data analysis and st
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用于图像处理的独立分量分析，包含CV、CA、Single、当前、恒转弯速率、转弯模型，阐述了负荷预测的应用研究,真的是一个好程序，数学方法是部分子空间法，结合PCA的尺度不变特征变换(SIFT)算法，最大似然（ML）准则和最大后验概率（MAP）准则，对于初学者具有参考意义。- Independent component analysis for image processing, It contains CV, CA, Single, current, constant turn rate, t
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用于特征降维，特征融合，相关分析等,计算十字叉丝的在不同距离的衍射图像,最大似然（ML）准则和最大后验概率（MAP）准则。- For feature reduction, feature fusion, correlation analysis, Calculation crosshairs diffraction image at different distances, Maximum Likelihood (ML) criteria and maximum a posteriori (MA
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