统计综合评判模型

Statistical Models of Synthetical Judgement

在解决图象解译和多维数据处理系统中,我们提出统计综合评判模型。 模型的基本结构是一个从多维到低维的投影变换。采用了非线性化方法,由专家经验确定参数。 模型的作用可类似于多元非线性回归,应用于排序、半定量化估计,并且可向定量化逼近。特别是应用到遥感图象综合排序中去,实现了对污染源排尘半定量化估计。在环境大气监测定量化中取得了较好的 社会效益和经济效果。

In explaining image and deal with multi-dimensional number, we introduce the statistical models of synthetical judgement.Basic composition of models is projective transformation from multi-dimensional allocation to bivariate distribution.We introduce nonlinear analysis,apply empirical method ot determine parameter.The function of models is equivalent to multi-dimensional nonlinear regression, it can be appliedto rank and estimation of half ration,close in on ration.Applyingmodel into image synthesize rank, we realize estimation of half ration in density of air polluting.In ration of environment controlling, It is got better in society of benefit and effect and result of economic.