摘要
以线和面要素为例,基于多指标综合加权实现了要素最优组合匹配,在剔除了比例尺表达差异影响情况下,根据非一致性评价类型条件进行实验数据的自动化检测与评价,当选取合理的参数阈值时,验证了非一致性检测的可用性与正确性,大大提高了工作效率,有利于提高地理空间数据的应用价值。
In this paper,taking line and surface element for example,we realized the optimal combination matching of elements based on multi-index comprehensive weighting.After eliminating the influence of disparity in scale expression,according to the condition of inconsistent evaluation type,we carried out the automatic detection and evaluation of experimental data.When the reasonable parameter thresholds were selected,the usability and correctness of inconsistency detection were verified.This study greatly improves the work efficiency,and is conducive to improving the application value of geospatial data.
出处
《地理空间信息》
2020年第8期94-97,I0003,共5页
Geospatial Information
基金
精密工程与工业测量国家测绘地理信息局重点实验室开发基金项目(PF2017-15)。
关键词
多尺度
最优匹配组合
非一致性检测
multi-scale
optimal matching combination
inconsistency detection
