计算机应用 ›› 2005, Vol. 25 ›› Issue (07): 1592-1594.DOI: 10.3724/SP.J.1087.2005.01592

• 数据库技术 • 上一篇    下一篇

基于映射位集合的遥感图像关联规则挖掘

黄端琼,陈崇成,黄洪宇,樊明辉   

  1. 福州大学 福建空间信息工程研究中心
  • 收稿日期:2004-12-16 发布日期:2005-07-01 出版日期:2005-07-01
  • 作者简介:黄端琼(1982-),女, 福建南安人, 硕士研究生,主要研究方向:空间数据挖掘、可视化技术;陈崇成(1968-),男,福建闽清人,副教授,博士,主要研究方向:空间信息集成技术、空间数据挖掘、虚拟地理环境、环境与自然资源遥感研究与开发.
  • 基金资助:

    福建省教育厅项目(K04001);福建省青年科技人才创新项目(2004J005)

Map-ased BitSet association rule mining of remote sensing image

HUANG Duan-qiong, CHEN Chong-cheng, HUANG Hong-yu, FAN Ming-hui   

  1. Spatial Information Research Center of Fujian,  Fuzhou University
  • Received:2004-12-16 Online:2005-07-01 Published:2005-07-01

摘要:

提出MBSA算法,采用Java中的TreeMap的映射技术和压缩的BitSet来存储大量的布尔变量值,并且该算法只扫描一次事务数据库,用BitSet的逻辑“与”操作来代替数据库的扫描,有效提高了运行速度。将该算法应用到遥感图像挖掘中,提取遥感图像中红、绿、蓝波段与农作物产量之间的关联,为提高农作物产量提供有益的支持

关键词: 遥感图像, 数据挖掘, 关联规则, 位集合, TreeMap

Abstract:

MBSA(Map-based BitSet Associaition Rule) algorithm was presented which used TreeMap class and a compressed BitSet class in Java to store Boolean values. MBSA algorithm scanned the transaction database only once and further database scans were replaced by BitSet logical AND operation, which efficiently speeded up the computation. MBSA algorithm had been applied to mine the association rules of red, green and blue bands associated with crop yield from remote sensing image of crop. It is useful for improve crop production.

Key words: remote sensing image, data mining, association rule, BitSet, TreeMap

中图分类号: