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基于分布式服务模型的遥感影像数据挖掘系统
引用本文:李广水,郑滔,宋丁全. 基于分布式服务模型的遥感影像数据挖掘系统[J]. 计算机工程, 2009, 35(23): 21-23,2
作者姓名:李广水  郑滔  宋丁全
作者单位:南京林业大学森林资源与环境学院,南京,210037;金陵科技学院,南京,211100;南京大学软件学院,南京,210093;金陵科技学院,南京,211100
基金项目:国家高技术研究发展计划(863计划),江苏省林业三项工程基金
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

Data Mining System for Remote Sensor Image Based on Distributed Service Model
LI Guang-shui,ZHENG Tao,SONG Ding-quan. Data Mining System for Remote Sensor Image Based on Distributed Service Model[J]. Computer Engineering, 2009, 35(23): 21-23,2
Authors:LI Guang-shui  ZHENG Tao  SONG Ding-quan
Affiliation:(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)
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.
Keywords:data mining for remote sensor image  Web service  WSBPEL
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