基于知识发现和决策规则的盐碱地遥感分类方法研究

Classification of Saline Soil Based on Knowledge Discovery andRule Base System Using Remote Sensing Data

提出了基于知识发现和决策规则基础的盐碱地ＧＩＳ和遥感分类的方法。这种方法的特点是把盐碱地分类的地学专家思想和区域专家的思想应用到ＧＩＳ数据挖掘中，并把从ＧＩＳ数据库中发现的知识，按一定的规则应用到盐碱地分类的决策中。经过对华北平原黑龙港地区盐碱地分类实例的研究证明，该研究方法不仅简化了数据运算过程，节省数据运算时间。

This paper presents the classification of saline soil method, based on knowledge discovery and decision supporting rule base systems using remotely sensed data and GIS. The geo\|science expert thoughts and experiences to GIS data mining resulted from classification of saline soil and monitoring secondary soil salinization are introduced. In the study, we constructed perfection knowledge discovery rules which are applied to the North China Plain. The resulting rules are used to improve knowledge discovery system performance.