摘要
粗糙集理论作为一种新的处理含糊和不确定性问题的数学工具,可以有效地分析和处理不完备信息,已经在模式识别、机器学习、决策支持、过程控制、预测建模等众多科学与工程领域得到成功的应用,并具有相当的发展潜力,该文在深入研究粗集理论基础上,将其引入遥感影像的处理中,对遥感图像分类进行了系统的研究。文中基于图像的粗糙集知识系统,提出了一种新的遥感图像知识分类算法———粗糙分类法,最后给出了一个相应的实例。
Rough set theory is a relatively new soft computing tool to deal with vagueness and uncertainty.It has received much attention of the researchers around the world.Rough set theory has been applied to many areas successfully including pattern recognition,machine learning,decision support,process control,it is also an intellective information processing method.This paper introduces the basic concepts of rough set and introduces rough set into the remote image.A new image classifying method-Rough Set classifying is given based on the knowledge system of rough set.The quality of image classifying is good enough to meet engineering requirements.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第13期103-105,共3页
Computer Engineering and Applications
基金
国家863计划青年基金资助(编号:2001AA135160)
关键词
粗糙集
图像处理
图像分类
软件计算
Rough set,Image mining,Image classifying,Soft computing
