maximum likelihood classifier meaning in Chinese

最大似然分级器
最大似然分类器

Examples

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。

maximum likelihood classifier meaning in Chinese

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