摘要
从静态数据场与动态数据场两个角度分析了数据域中每个数据对象相互作用的特征、性质,建立了相应的数学模型。对于静态数据场,给出了选择静态数据场的函数形态具体方法,分析了单个数据对象与其自身及多个数据对象的产生的势函数和场强函数。对于动态数据场,给出了提取对象特征、划分等势线对象层次与显示数据场对象聚类过程的具体方法。最后从人脸识别的例子上验证了动态数据场的模型。
The Characters and properties of object interaction in data area were analyzed from two angles induding static data field and dynamic data field.Corresponding mathematics model was built up.For static data field,the concrete method of choicing function appearance was given,and analyzed the power function and field intension function single which were produced from piece according to the object and its oneself.For dynamic data field,the concrete method of withdrawing an object characteristic,dividing power line and showing the process of data field object clustering.Finally the model of dynamic data field was verified through the example of identifying person's face.
出处
《测绘科学》
CSCD
北大核心
2010年第S1期179-180,223,共3页
Science of Surveying and Mapping
基金
国家自然科学基金(40774031)
全国优秀博士学位论文作者专项基金项目(200344)
关键词
数据场
数据对象
聚类
data field
data object
clustering
