CAJ | 학술논문

遥感图像信息提取与分类是当今数据挖掘领域中的热门话题之一。遥感图像计算机分类的主要措施是基于统计特征的模式识别技术和句法模式方法。该文是在认真阅读了相关资料的基础提出了有关分类的一种设想，一种人工智能和数据库理论结合的分类方法，即利用地物字典进行遥感图像分类。
요감도상신식제취여분류시당금수거알굴영역중적열문화제지일。요감도상계산궤분류적주요조시시기우통계특정적모식식별기술화구법모식방법。해문시재인진열독료상관자료적기출제출료유관분류적일충설상，일충인공지능화수거고이론결합적분류방법，즉이용지물자전진행요감도상분류。
Extraction and classification on information of remote sensing image is one of the heat subjects in the field of date mining today. The major initiatives on the computer classification of remote sensing image is methods that is based on the mode of pattern recognition technology and syntactic pattern recognition. One idea about classification is presented in the background of reading relevant material in this paper. And the paper discusses the idea by applying artificial intelligent and database theory. It is classification of remote sensing image by object dictionary.