摘要： 为了改善遥感影像的分类精度,介绍了遥感影像综合理解模型,并提出了一种新的遥感影像理解模型。利用它支持图像分类,在分类过程中,相关的地理数据得到使用,且用规则表示成像和知识。经验证,该方法与传统方法相比,有效改善了分类精度,是一种好的分类方法。

关键词: 遥感影像综合理解模型, 遥感影像分类, 土地利用/土地覆盖

Abstract: In order to improve the classified precision of remote sensing images,this paper introduces a synthetically understanding model of remote sensing images,and presents a new method for remote sensing image understanding,uses it to support image classification.In classification procedures,the associated geographic data are used as well as imagery,and knowledge is represented by rules.The method has been approved to be effective to improve the classification accuracy compared to the traditional method,experiment approves it’s a good classification method.

中图分类号: 

• TP75