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叠加分类及其在冀太行山区土地利用类型遥感解译中的应用
引用本文:葛静茹,秦安臣,赵雄伟,孙秋华,李明,张锐,贾哲.叠加分类及其在冀太行山区土地利用类型遥感解译中的应用[J].浙江林学院学报,2007,24(6):681-685.
作者姓名:葛静茹  秦安臣  赵雄伟  孙秋华  李明  张锐  贾哲
作者单位:1. 河北农业大学,园林与旅游学院,河北,保定,071000;保定学院,资源与环境系,河北,保定,071000
2. 河北农业大学,园林与旅游学院,河北,保定,071000
基金项目:河北省科学技术研究与发展计划;河北省教育厅科研项目
摘    要:计算机遥感解译方法主要包括监督分类和非监督分类2种,但两者均具有一定局限性。为了更精确地获取土地利用类型信息,在分别采用监督分类与非监督分类的基础上,提出了叠加分类的遥感解译方法。此方法的关键在于,叠加分类时对叠加图像进行部分重新编码,即只对监督分类与非监督分类中的典型地物进行重新编码,这样会使监督分类图与非监督分类图进行较为充分的叠加,叠加后再进行重新编码,以保证良好的分类效果。以河北省太行山区为对象进行了案例研究,对监督分类、非监督分类和叠加分类进行了比较分析。研究结果表明,叠加分类效果最好,具有操作简单,人为影响较小,精度较高等优点。图3表3参17

关 键 词:土地利用类型  遥感  叠加分类  图像解译  Erdas  Imagine软件
文章编号:1000-5692(2007)06-0681-05
修稿时间:2007年1月23日

Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei
GE Jing-ru,QIN An-chen,ZHAO Xiong-wei,SUN Qiu-hua,LI Ming,ZHANG Rui,JIA Zhe.Overlay classification and its application in the remote sensing interpretation of land-use types in Taihangshan area, Hebei[J].Journal of Zhejiang Forestry College,2007,24(6):681-685.
Authors:GE Jing-ru  QIN An-chen  ZHAO Xiong-wei  SUN Qiu-hua  LI Ming  ZHANG Rui  JIA Zhe
Abstract:Remote sensing interpretation method includes supervised classification and unsupervised classification.But both of the two methods had their own limitations.In order to obtain the information of land-use type accurately,the research applied a new method of remote sensing interpretation,i.e.,the advanced overlay classification.The key to the method was that the overlay images should be recoded partly after supervised classification and unsupervised classification.That is to say the recode was only done on the representative object to make the overlay more adequately.Then another recode was needed after overlay classification.Only by this way good classification effect could be ensured.This paper took Taihangshan area of Hebei for example and compared the merits and defects of the three methods.The results indicated overlay classification was characterized by easy operation,less artificial influence and high precision.The paper provided a powerful technical support for the remote sensing interpretation in future.
Keywords:land-use type  remote sensing  overlay classification  image interpretation  Erdas Imagine software
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