基于数据挖掘机制的卫星遥感信息智能处理方法研究  

A Study on the Data Mining Strategy Based Intelligent Information Processing Technologies for Satellite Remote Sensing

作　　者：何国金[1] 张晓美[1] 焦伟利[1] 胡德永[1] 王威[1] 李国靖[2] 程博[1] 项波[1] 

机构地区：[1]中国科学院中国遥感卫星地面站重点实验室,北京2434信箱100086 [2]北京市农业技术推广站,北京100000

出　　处：《科学技术与工程》2005年第24期1911-1915,共5页Science Technology and Engineering

基　　金：国家自然科学基金(60272032)资助

摘　　要：以北京市农业种植结构调整监测为对象,借鉴数据挖掘和知识发现的最新成果,从对遥感数据的信息论分析出发,探讨适合于农业应用的卫星遥感数据挖掘与知识发现的关键技术。研究试验表明,该方法有利于提高遥感信息农业应用过程中数据处理和信息提取的能力与效率,具有较好的应用价值和前景。Aimed at the information demands for monitoring the adjustment of agricultural planting structure, a study on the key technologies of intelligent information processing is presented for satellite remote sensing based on data mining and knowledge discovery strategy as well as information theory, which is suitable for agriculture applications. It has resulted in a good capability and efficiency for satellite data processing and information extraction by performing a test on extracting the winter wheat distribution of Beijing from Landsat image, together with the status of agricultural structure adjustment. It is thus expected to follow a prospect application.

关 键 词：数据挖掘 卫星遥感 智能处理 农业结构调整 

分 类 号：TP753[自动化与计算机技术—检测技术与自动化装置]