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GIS辅助下的基于数据挖掘的林型遥感分类方法研究
引用本文:邓书斌,武红敢,江涛.GIS辅助下的基于数据挖掘的林型遥感分类方法研究[J].测绘科学,2008,33(3):121-123.
作者姓名:邓书斌  武红敢  江涛
作者单位:山东科技大学,山东青岛,266510;中国林科院资源信息研究所,北京,100091
基金项目:科技部科技基础条件平台建设计划
摘    要:在植被分类领域,各类植被光谱特征非常相近,纹理特征比较单一,并且受物候影响较大,使得影像上林地信息的分类识别的成为一个较复杂的过程。本文利用GIS平台构建由影像、DEM等组成的多元空间数据库,将数据挖掘的方法引入林型遥感分类中,充分利用了现有的空间数据资源,减少了同物异谱、异物同谱对林型遥感分类的影响,增强了分类知识获取的自动化和智能化程度。实验结果表明,该方法具有简化知识获取过程和提高分类精度等优点。

关 键 词:数据挖掘  知识发现  分类规则  决策树  专家分类器
文章编号:1009-2307(2008)03-0121-03
修稿时间:2007年1月29日

Study on the GIS-aided remote sensing classification methods of forest land cover based upon date mining
DENG Shu-bin,WU Hong-gan,JIANG Tao.Study on the GIS-aided remote sensing classification methods of forest land cover based upon date mining[J].Science of Surveying and Mapping,2008,33(3):121-123.
Authors:DENG Shu-bin  WU Hong-gan  JIANG Tao
Abstract:In the field of vegetation classification,varieties of vegetation are similar in spectrum and texture characters and apt to be affected by the climate,which make the classification identification a complicated process.In this text we use GIS platform to construct a multi-dimension database made up of images,DEM,etc,introduce the methods of data mining into forest type RS classification,make full use of the spatial data resource available,to reduce the influence to the forest classification of the special situations which is that the same matter presents different spectrum and the same spectrum shows different matter,and improve the automatization and intelligentization of classification of knowledge acquisition.This method is proved by experiments to have got the excellency of predigesting the Classification of knowledge acquisition process and improving classification precise.
Keywords:data mining  knowledge discovery  classification rules  decision tree  expert classifier
本文献已被 CNKI 维普 万方数据 等数据库收录!
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