基于K-means的多级迭代分区坐标转换方法研究
Research on Multi-Level Iterative Coordinate Transformation Partitioning Method Based on K-means
李明峰 1冯鑫 1檀丁1
作者信息
- 1. 南京工业大学测绘科学与技术学院,江苏南京 211816
- 折叠
摘要
不同于传统坐标转换,大区域坐标转换通常采用分区转换的方法来保证精度,不同的分区策略对最后的转换精度有很大的影响.因此,大区域坐标转换分区方法的研究有着重要的意义.在分析大区域坐标转换特性的基础上,重点探讨了 K-means算法的适用性,提出了一种基于K-means的多级迭代分区坐标转换方法.通过实例验证了方法的可行性,既适应于不同面积、不同坐标点分布的情况,又能提高坐标转换的精度.
Abstract
Different from traditional coordinate transformation,large-area coordinate transformation usually adopts the method of partition transformation to ensure the precision,and different partition strategies have great influence on the final transformation precision.Therefore,it is of great significance to study the method of large area coordinate transformation.Based on the analysis of the characteristics of large area coordinate transformation,the applicability of K-means algorithm is discussed in this paper.A multi-level iterative partitioned coordinate transformation method based on K-means is proposed and the coordinate transformation program is programmed.The feasibility of the method is verified by an example,which not only adapts to the situation of different area and coordinate point distribution,but also improves the precision of coordinate transformation.
关键词
大区域/K-means算法/分区方法/坐标转换Key words
large area/K-means/partition method/coordinate transformation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据