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计算机工程 ›› 2009, Vol. 35 ›› Issue (23): 21-23,2. doi: 10.3969/j.issn.1000-3428.2009.23.008

• 博士论文 • 上一篇    下一篇

基于分布式服务模型的遥感影像数据挖掘系统

李广水1,2,郑 滔3 ,宋丁全2   

  1. (1. 南京林业大学森林资源与环境学院,南京 210037;2. 金陵科技学院,南京 211100;3. 南京大学软件学院,南京 210093)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-12-05 发布日期:2009-12-05

Data Mining System for Remote Sensor Image Based on Distributed Service Model

LI Guang-shui1,2, ZHENG Tao3, SONG Ding-quan2

  

  1. (1. College of Forest Resource and Environment, Nanjing Forest University, Nanjing 210037; 2. Jinling Institute of Technology, Nanjing 211100; 3. Software Institute, Nanjing University, Nanjing 210093)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-12-05 Published:2009-12-05

摘要: 依据遥感影像的特点及WCS标准,研究面向服务的遥感数据挖掘模式及其基于工作流的分布式系统架构。在此基础上,采用.Net体系及WSBPEL流程建模语言,设计一个遥感影像纹理关联规则的挖掘系统,并研究对大数据集的访问、网络资源占用、程序的可伸缩性等方面的实现技术,为Internet环境下遥感影像的处理提供了依据。

关键词: 遥感影像数据挖掘, Web服务, WSBPEL建模语言

Abstract: According to the characteristic of remote sensor image and the open geospatial consortium Web Coverage Service (WCS) specification, this paper studies the model of data mining from remote sensor image and the architecture for integrating distributed SOA by work flow. Basing on the .Net framework and WSBPEL, an association rule mining system from the value of feature texture of remote sensor image is designed, which studies on aspects of accessing to a large data source, occupying the network resources, process scalability. It can provide the reference to the analysis for remote sensor image in Internet.

Key words: data mining for remote sensor image, Web service, WSBPEL

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