MAXIMUM-LIKELIHOOD DISCRIMINANT-ANALYSIS ON THE PLANE USING A MARKOVIAN MODEL OF SPATIAL CONTEXT
MAXIMUM-LIKELIHOOD DISCRIMINANT-ANALYSIS ON THE PLANE USING A MARKOVIAN MODEL OF SPATIAL CONTEXT
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DOI：
10.1016/0031-3203(85)90054-8
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发表时间：
1985-01-01
影响因子：
8
通讯作者：
HASLETT, J
中科院分区：
文献类型：
--
作者：
HASLETT, J
本文提出了一种利用空间信息对规则格点上每一点的多变量数据进行判别分析的方法，例如LANDSAT。空间信息被建模为一个特别简单的马尔可夫随机场。判别分析是基于最大似然法。通过蒙特卡罗模拟与替代方案的结果进行了比较，似乎是令人鼓舞的。
A method is presented for utilising spatial information in performing discriminant analysis on multivariate data at each point on a regular lattice, as for example with LANDSAT. The spatial information is modelled as a particularly simple Markov random field. The discriminant analysis is based on the maximum likelihood method. The results are compared with alternatives by Monte Carlo simulation, and seem to be encouraging.