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基于决策树模型的武汉市地表比辐射率反演研究
引用本文:兰洪浩,谭永滨,李桢,于忠海.基于决策树模型的武汉市地表比辐射率反演研究[J].全球定位系统,2013(5):34-39.
作者姓名:兰洪浩  谭永滨  李桢  于忠海
作者单位:[1]武汉大学资源与环境科学学院,湖北武汉430079 [2]国家测绘局陕西基础地理信息中心,陕西西安710054
基金项目:中央高校基本科研业务费专项资金资助项目(批准号:2011274400)
摘    要:地表比辐射率值是反演地表温度中的关键参数,它通过高效的遥感影像分类方法来获取。利用NDVI指数,MNDWI指数及NDBI指数,探讨基于决策树模型的比辐射率估算方法,并通过与传统方法的对比研究,认为针对武汉市的特点,采用决策树的比辐射率估算方法精度高于传统模型,较适合研究区的地表组成特征。

关 键 词:地表比辐射率  决策树  MNDWI  NDBI

Land Surface Emissivity Retrieval in Wuhan Based On Decision Tree
LAN Honghao,TAN Yongbin,LI Zhen'',YU Zhonghai.Land Surface Emissivity Retrieval in Wuhan Based On Decision Tree[J].Gnss World of China,2013(5):34-39.
Authors:LAN Honghao  TAN Yongbin  LI Zhen''  YU Zhonghai
Institution:' (1. School of Resource and Environmental Sciences , Wuhan University, Wuhan Hubei 430079,China 2. Shanxi Geomatics Center of SBSM, Xi'an, Shannxi 710054, China)
Abstract:The land surface emissivity is a key parameter for retrieving land surface tem- perature, which gains by higher remote sensing classification algorithm, In this paper, a new estimation method of land surface emissivity is presented based on MNDWI(Modified Nor- malized Difference Water Index),NDBI(Normalized Difference Built-up Index). According to the attributes of Wuhan city, the accuracy of the results show that the estimating result of LSE with Decsion Tree is better than other models,which is propitious to the study area.
Keywords:Land surface emissivity  decision tree  MNDWI  NDBI
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