1) maximum likelihood classification
最大似然分类法
1.
Then based on the enhancement of extraction with maximum likelihood classification and compared the result with the effect that used maximum likelihood classification only.
以陕北农牧交错带为试验区,采用主成分分析法对TM图像进行增强,然后应用最大似然分类法提取水体信息,并将提取的结果与单纯依靠最大似然分类法得到的结果进行了对比。
2.
In this paper,RRI(Ratio Resident-area Index) and Maximum Likelihood Classification(MLC) were used to retrieve urban residential areas in the region of Xi an,respectively,from the satellite image of Landsat TM in 2003.
50%)优于最大似然分类法(精度为78。
2) maximum likelihood classification algorithm
最大似然分类方法
3) fast maximum likelihood classification (FMLC)
快速最大似然分类法
4) maximum-likelihood classification
最大似然分类
1.
This paper introduces the characteristics of and the existing problems in the maximum-likelihood classification,advances some methods that should be adopted in solving these problems,and discusses on the classification technology of artificial neural network and the image texture features participating classification.
介绍了最大似然分类法的特性及存在的问题,提出了解决这些问题需要采用的方法,论述了人工神经网络分类技术和图像纹理特征参与分类。
5) Maximum Likelihood Classification
最大似然分类
1.
Algorithm research of maximum likelihood classification based on fuzzy inference
基于模糊推理的最大似然分类算法研究
2.
Considering two stages probability method of maximum likelihood classification(MLC),this article proposed a new method of exploiting spatial information to improve classification rules by adjusting the prior probability according to the local spatial information.
考虑到传统最大似然分类(MLC)方法包括先验概率和条件概率密度函数两个核心环节,提出基于空间信息的浮动先验概率MLC方法,融合空间信息和波谱信息,以提高分类精度。
6) max-likelihood classifier
最大似然分类器
1.
When classifying the hyper-spectral remote sensing images using the max-likelihood classifier, the determinant of spectra s cov-matrix is singular approximately and an unreasonable result comes out because of the big number of the bands and the close correlation between them.
利用最大似然分类器对高光谱遥感图像分类时,由于波段数目多、波段间的相关度大,使协方差矩阵的行列式近似于奇异,因而导致了不合理的分类结果。
补充资料：翛然
【诗文】：
翛然三月闭柴荆，绿叶阴阴忽满城。
自是老年游兴少，春风何处不堪。
【注释】：
【出处】：
翛然三月闭柴荆，绿叶阴阴忽满城。
自是老年游兴少，春风何处不堪。
【注释】：
【出处】：
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条