摘要
通过对探测器三维空间探测数据进行分层处理,以选取的最具代表性特征的某层(特征层)为处理数据,通过对特征层矩阵和模板矩阵的相关性运算,经过假设检验,从中选取预报因子,从而构建预测矩阵,并通过加权处理,最终预测未知区域的场信息,为飞行器路径规划提供前期数据依据,以此保证飞行器的最优安全飞行。
This paper gives a method of dividing the three-demensional data which was produced by detectors into several layers, then choose the specified layer to correlate with the model-matrix, after hypothesis testing, the pre-elements are chosen to create the pre-matrix which is mutiplied by the weighted coefficients, then the three-demensional information of the virgin spaces is forecasted. The information would guide the vechile fly into the optimal and secure flight path.
出处
《信息技术》
2010年第1期29-33,共5页
Information Technology
基金
山东省"泰山学者"专项工程经费资助
关键词
三维空间数据
特征层
相关性运算
预测矩阵
three-dimensional data
characteristic level
correlation
pre-matrix