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基于粗糙集核计算的遥感图像波段优选算法
引用本文:陈敏. 基于粗糙集核计算的遥感图像波段优选算法[J]. 宁德师专学报(自然科学版), 2006, 18(4): 378-380,384
作者姓名:陈敏
作者单位:福州大学管理工程系,福建,福州,350002
基金项目:福建省教育厅科研项目;福建省空间信息中心资助项目
摘    要:针对遥感图像波段选择传统手工方法的不足,应用粗糙集理论,从纹理分析的多个角度选择特征,多方面挖掘数据的关键属性;通过核属性时方法计算达到简化决策表中的条件属性的目的,得到图像分类的关键波段和一些次关键波段;实现了波段的自动选择.该算法比传统方法更客观更简便,为遥感图像波段选择提供了崭新的方法.

关 键 词:遥感图像  粗糙集  差别矩阵  核属性  优选波段
文章编号:1004-2911(2006)04-0378-03
收稿时间:2006-09-10
修稿时间:2006-09-10

Optimal bands selection of remote sensing image based on core attribute of rough set theory
CHEN Min. Optimal bands selection of remote sensing image based on core attribute of rough set theory[J]. Journal of Ningde Teachers College(Natural Science), 2006, 18(4): 378-380,384
Authors:CHEN Min
Affiliation:Department of Management Science and Engineering, Fuzhou University, Fuzhou Fujian 350002, China
Abstract:In this paper, the method of getting optimal bands from remote sensing image is discussed. Firstly, by analyzing the features of texture, it gets some key attributes of data at multi - aspects. Secondly, according to the method of calculating the core, condition attributes of decision table are reduced. Finally, optimal bands and some sub - optimal bands are gotten. By this way it can overcome the defect of traditional method which gets the result by hand. The algorithms is objective and simple, it provides a new approach to bands selection.
Keywords:RS image    rought set    discemibility matrix    core    optimal bands
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