摘要
在传统等高线追踪算法基础上,从计算机地图制图角度出发,对基于整根内插的等高线追踪方法进行了改进;提出固定遍历方向值和左上角点统筹思想,优化格网单元遍历原则、等高线方向一致性处理;提出交点符号法,对等高线走向二义性问题进行了优化。使用C++语言在VC++6.0开发环境中实现了上述算法,实验结果与算法分析表明,该算法能有效简化等高线追踪算法的复杂度。
With the development of satellite remote sensing technology, the volume of remote sensing image data grows exponen- tially, while the processing capability of common computer system is hard to satisfy the requirements of remote sensing image data accessing and retrieval. In this paper, we propose a scalable and parallel processing model based on MapReduce and HBase mechanism. It is a distributed and parallel storage method which combined with Pyramid Model and MapReduce Thinking. It recodes the tiles of each remote sensing image and defines the s^orage rule to ensure the tiles can be stored and searched in parallel. Experiments show that the speeds of data importing and data retrieval increase obviously as the cluster of Hadoop and HBase grows.
出处
《地理与地理信息科学》
CSCD
北大核心
2014年第5期29-32,F0003,共5页
Geography and Geo-Information Science
基金
国家基金重点项目(41130744/D0107)
973计划前期研究专项课题(2012CB723403)
关键词
整根内插
等高线追踪
交点符号法
remote sensing image
Pyramid Model
MapReduce
HBase
parallel processing
query
作者简介
刘凯斯（1989-）,女,硕士研究生,研究方向为三维空间GIS建模与分析.｜
王彦兵 通讯作者 E-mail：wybcnu@sina.com
