CAJ | 학술논문

针对目前遥感影像分类方法中存在分类知识难以获取的不足,尝试引入形式概念分析的数据挖掘理论,并基于族集最小覆盖理论实现概念内涵的缩减,从而保证分类规则的简洁与无冗余性.研究选取湖北省房县作为试验区,实现了该理论在研究区中土地利用类型分类规则的挖掘应用.基于挖掘出的分类规则构建了启发式分类器,实验结果表明形式概念分析理论挖掘出的分类规则可信度较高,基于挖掘出的分类规则构建的分类器相对于监督分类方法、决策树C4.5算法在分类精度上有一定优势,从而证明了它对遥感影像分类提供一种的新方法.
침대목전요감영상분류방법중존재분류지식난이획취적불족,상시인입형식개념분석적수거알굴이론,병기우족집최소복개이론실현개념내함적축감,종이보증분류규칙적간길여무용여성.연구선취호북성방현작위시험구,실현료해이론재연구구중토지이용류형분류규칙적알굴응용.기우알굴출적분류규칙구건료계발식분류기,실험결과표명형식개념분석이론알굴출적분류규칙가신도교고,기우알굴출적분류규칙구건적분류기상대우감독분류방법、결책수C4.5산법재분류정도상유일정우세,종이증명료타대요감영상분류제공일충적신방법.
In order to solve the problems that how to mine and express classification knowledge and rules in current remote sensing image classification, this paper introduces a new data mining theory of formal concept analysis, and realizes the connotation reduction of concept based on the minimum coverage of sets for ensuring the simplicity of classification rules. Meanwhile, the Fang city of Hubei province is selected to carry out the formal concept analysis theory to mine the land-use types classification rules, and construct a heuristic classifier based on the mined classification rules. The result shows that the mined classification rules have higher credibility, and the constructed classifier has higher accuracy compared with supervision classification and C4.5 algorithm, which proves that the theory of formal concept analysis provides a new method to achieve remote sensing image classification.