maximum likelihood classifier中文是什么意思

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中文翻译
造句

最大似然分级器
最大似然分类器

maximum n. (pl. maximums, -ma ) 极点，最 ...
likelihood n. 1.可能(性)。 2.【数、统】似然，似真。 3. ...
classifier n. 1.分类者。 2.【矿物】分级机。 3.【化学】 ...
maximum-likelihood maximum likelihood 极大似然
maximum likelihood 极大似然; 最大似然法; 最大似然估计; 最大似然函数; 最大似然率
constrained likelihood maximum 约束似然极大值
full information maximum likelihood 完全信息最大概似法
full maximum likelihood estimate 完全极大似然估计量
iterative maximum likelihood estimation 重复最大相似性估计
linear maximum likelihood method 线性极大似然法
linearized maximum likelihood estimator 线性化极大似然估计量
maximum likelihood (mle) 极大似然法
maximum likelihood algorithm 最大似然算法
maximum likelihood cla ifier 最大似然分级器
maximum likelihood classification 最大似然分类
maximum likelihood cointegration test 大概似共整法
maximum likelihood criterion 极大似然准则; 最大可能准则; 最大似然准则
maximum likelihood decision 最大似然判决
maximum likelihood decision rule 最大似然率判定规则; 最大似然判别法则; 最大似然判决规则
maximum likelihood decoder 最大似然译码器
maximum likelihood decoding 最大似然解码; 最大似然译码
maximum likelihood detection 最大似然检测
maximum likelihood equations 极大似然方程
maximum likelihood estimate 极大似然估计量; 最大可能性(相似性)评价; 最大似然估计; 最大相似估计
maximum likelihood estimating function 极大似然估计量

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例句与用法

According to the method classification test is done with etm data , and the accuracy is compared with the one of maximum likelihood classifier
结果表明，利用基于支持向量机的方法进行遥感图像分类，精度明显优于最大似然法分类的精度。
In order to improve the accuracy of remote sensing image classification and compensate the weakness of maximum likelihood classifier , this paper puts forward a new classification method , which is based on support vector machine ( svm )
摘要为了提高遥感图像分类的精度，弥补传统最大似然分类方法所固有的分类时样本不足的缺陷，提出了一种基于支持向量机、光谱特征和纹理特征相结合的遥感图像分类方法。
It is a new approach to improve the accuracy of image classification in combining spectral feature with texture and structural features of ground objective on satellite image . based on the recognizable characteristics of satellite image , it is introduced how to describe and capture texture and structural features of ground objective by the discrete fractional brownian motion model . furthermore , neural networks are used for classification tool of satellite image . in classification spectral feature , texture and structural features of ground objective are used for the category of an irs - 1c satellite image . the category result shows this approach is better than the maximum likelihood classifier
根据卫星数字图像特点，引入了分形方法来描述纹理结构特征，利用离散分形布朗运动dfbm统计模型来抽取卫星图像纹理结构特征。在此基础上，采用神经网络方法将纹理结构特征与地物光谱特征相结合，进行卫星图像分类。试验结果表明，该分法分类效果优于单纯采用光谱特征分类的最大似然法。

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Last modified time:Mon, 11 Aug 2025 00:29:56 GMT