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

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.