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基于高程或气溶胶厚度与6S模型校正参数回归方程的遥感图像大气校正模型
引用本文:杨静学,王云鹏,杨勇.基于高程或气溶胶厚度与6S模型校正参数回归方程的遥感图像大气校正模型[J].遥感技术与应用,2009,24(3):331-340.
作者姓名:杨静学  王云鹏  杨勇
作者单位:(1.中国科学院广州地球化学研究所有机地球化学国家重点实验室,广东 广州〓510640; 2.中国科学院研究生院,北京〓100039)
基金项目:国家高技术研究发展计划(863计划),广东省自然科学基金 
摘    要:为了消除影像中的大气影响,反演地表真实反射率,需要进行大气校正。6S是通用的大气校正模型之一,但是对于覆盖面积较广、下垫面较复杂的影像,若用平均的气溶胶厚度和高程参数来对影像进行校正,将出现较大误差。提出了建立一种基于6S模型,以高程或气溶胶厚度为参数的大气校正模型与方法,并以广州Landsat ETM+为例,对校正前后的反射率直方图、NDVI灰度直方图以及各类地物的光谱特征进行分析。结果证明了该方法简单实用,校正精度高,可直接用于该地区相似气候条件下影像的大气校正,对类似的研究有借鉴意义。&

关 键 词:遥感  6S模型  大气校正  DEM  气溶胶光学厚度  

Atmospheric Correction Model of Remote Sensing Image by Regression Analysis between Elevation/Aerosol Optical Thickness and Correction Parameters of 6S Model
YANG Jing-xue,WANG Yun-peng,YANG Yong.Atmospheric Correction Model of Remote Sensing Image by Regression Analysis between Elevation/Aerosol Optical Thickness and Correction Parameters of 6S Model[J].Remote Sensing Technology and Application,2009,24(3):331-340.
Authors:YANG Jing-xue  WANG Yun-peng  YANG Yong
Affiliation:(1.State Key Laboratory of Organic Geochemistry,Guangzhou Institute of Geochemistry,Chinese Academy of Sciences,Guangzhou 510640,China;2.Graduate School of the Chinese Academy of Sciences,Beijing 100039,China)
Abstract:Atmospheric correction is necessary to retrieve the real surface reflectance of the surface objects and eliminate the distortions and noises to the spectrum caused by the presence of the atmosphere.6S (Second Simulation of the Satellite Signal in the Solar Spectrum) model is a widely used atmospheric correction model.However,great errors exist for the model if an average value of elevation or aerosol optical thickness (AOT) is used for the correction of the image covering a wide and complex area.Taking elevation or AOT as input parameters,an atmospheric correction method is proposed in this paper based on 6S model.The histogram of the corrected reflectance, NDVI and the spectral characteristics of a variety of surface objects from Guangzhou were compared with the original ones.The results show that this method is valid and in high correction precision,which were simple,applicable and could be used for atmospheric correction of remote sensing image covering the regions with similar climate conditions.This method can be applied in similar circumstances for references.
Keywords:DEM
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