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多角度高光谱CHRIS/Proba植被模式数据大气校正
引用本文:王明常,王亚楠,陈圣波,路鹏,陶玉龙,徐连举. 多角度高光谱CHRIS/Proba植被模式数据大气校正[J]. 吉林大学学报(地球科学版), 2011, 41(2): 609-614
作者姓名:王明常  王亚楠  陈圣波  路鹏  陶玉龙  徐连举
作者单位:吉林大学地球探测科学与技术学院,长春,130026;长春市房产产权登记发证中心,长春,130022
基金项目:国家“863”计划项目(2008AA12A212); 中央高校基本科研业务费专项资金项目(200903046)
摘    要:遥感数据大气校正是进行定量遥感的前提,大气校正的好坏直接影响到后期的定量分析、信息提取和遥感应用.选择长白山地区2008年8月30日的多角度高光谱CHRIS/Proba数据为研究对象,根据多角度高光谱CHRIS数据植被模式的特点,利用滤波进行条带噪声去除;根据MODTRAN模型原理进行多角度高光谱CHRIS/Proba...

关 键 词:遥感  多角度高光谱  CHRIS/Proba数据  植被模式  大气校正

Atmospheric Correction Research on Vegetation Patterns of Multi-Angle Hyperspectral CHRIS/Proba Data
WANG Ming-chang,WANG Ya-nan,CHEN Sheng-bo,LU Peng,TAO Yu-long,XU Lian-ju .College of GeoExploration Science , Technology,Jilin University,Changchun ,China .Changchun Real Estate Regitration , Certification Centre,Changchun ,China. Atmospheric Correction Research on Vegetation Patterns of Multi-Angle Hyperspectral CHRIS/Proba Data[J]. Journal of Jilin Unviersity:Earth Science Edition, 2011, 41(2): 609-614
Authors:WANG Ming-chang  WANG Ya-nan  CHEN Sheng-bo  LU Peng  TAO Yu-long  XU Lian-ju .College of GeoExploration Science    Technology  Jilin University  Changchun   China .Changchun Real Estate Regitration    Certification Centre  Changchun   China
Affiliation:WANG Ming-chang1,WANG Ya-nan1,CHEN Sheng-bo1,LU Peng1,TAO Yu-long1,XU Lian-ju2 1.College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China 2.Changchun Real Estate Regitration and Certification Centre,Changchun 130022,China
Abstract:Atmospheric correction of remote sensing data is a prerequisite for quantitative remote sensing valuation,what will have a direct impact on the later quantitative analysis,information extraction and remote sensing applications.Choosed the multi-angle hyperspectral CHRIS/Proba data of Changbai Mountain area on Aug 30,2008,according to the characteristics of vegetation patterns in multi-angle hyperspectral CHRIS data,filter methods are used for stripe noises removal,atmospheric correction are carried out base...
Keywords:remote sensing  multi-angle hyperspectral  CHRIS/Proba data  vegetation patterns  atmospheric correction  
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