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基于景观分区的植被类型信息提取
引用本文:吴健,潘军,邢立新,刘安涛.基于景观分区的植被类型信息提取[J].吉林大学学报(地球科学版),2007(Z1).
作者姓名:吴健  潘军  邢立新  刘安涛
作者单位:吉林大学地球探测科学与技术学院 吉林大学地球探测科学与技术学院 长春
摘    要:利用陆地卫星多光谱遥感数据,在研究草被、针叶林、阔叶林、耕地等不同植被类型波谱特征的基础上,引入景观分区信息,进行空间特征与波谱特征相结合的遥感植被类型信息提取,其精度和效果优于单纯依赖植被指数的分类方法,能够适用于研究区植被类型的详细划分。

关 键 词:植被指数  波谱特征  空间特征  景观分区

Distilling Type Information of Vegetation Based on Slight Subarea
WU Jian,PAN Jun,XING Li-xin,LIU An-tao College of GeoExploration of Science and Technology,Jilin University,Changchun ,China.Distilling Type Information of Vegetation Based on Slight Subarea[J].Journal of Jilin Unviersity:Earth Science Edition,2007(Z1).
Authors:WU Jian  PAN Jun  XING Li-xin  LIU An-tao College of GeoExploration of Science and Technology  Jilin University  Changchun  China
Institution:WU Jian,PAN Jun,XING Li-xin,LIU An-tao College of GeoExploration of Science and Technology,Jilin University,Changchun 130026,China
Abstract:Choosing the land satellite multi-spectrum remote sensing data,in the base of researching the different types of vegetation spectrum of grass,conifer,broadleaf and farm land,the authors input the slight subarea information to distill the remote sensing vegetation information which is the coalescent of the interspace characteristic and spectrum.The result indicates that the import method of slight subarea information is superior to the method of only depending on the vegetation index,and can be used to research the partition of the type of vegetation.
Keywords:vegetation index  spectral character  spatial characte  slight subarea
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