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	基于FLAASH的Hyperion高光谱影像大气校正
其他题名	Atmospheric Correction of Hyperion Hyperspectral Image Based on FLAASH
	袁金国 1; 牛铮 2; 王锡平 1
ISSN	1000-0593
出版年	2009
卷号	29 期号:5 页码:1181-1185
中文摘要	遥感影像的大气校正是定量遥感研究的前提.文章对利用ENVI软件的FLAASH(fast line-of-sightatmospheric ariaIysis of spectral hypercubes)进行EO-1 Hyperion高光谱影像的大气校正能力进行了评价.黑河流域甘肃张掖研究区的Hyperion高光谱影像的获取时间是2007年9月10日,卫星过境前后准实时获取41个样区的野外实测数据,包括冠层波谱和生化含量以及GPS定位数据.首先利用Landsat-7 ETM~+影像对Hyperion高光谱影像进行了几何校正,然后将Hyperion的DN值转化为辐射亮度和表观反射率,并利用FLAASH对Hyperion影像进行大气校正.比较了研究区四种典型地物(玉米、水体、荒漠和建筑物)的辐射亮度、表观反射率以及FLAASH大气校正后的反射率,并与玉米ASD野外反射波谱利用高斯滤波函数重采样到Hyperion相应波段后进行了比较.结果表明,FLAASH大气校正很有效,两种方法获得的反射渡谱相吻合,相关系数达0.987.
英文摘要	Atmospheric correction of remote sensing image is the premise of quantitative remote sensing. The present paper evaluated the capability of FLAASH (fast line-of-sight atmospheric analysis of spectral hypercubes)in ENV1 software to make atmospheric correction for EO-1 Hyperion hyperspectral image Hyperion hyperspecreal image of Zhangye city in Heihe River valley of Gansu province, China was acquired on September 10, 2007. Canopy spectra, biochemical component and GPS data of 41 plots were measured in near real-time during the satellite overpass. Hyperion hyperspectral image was geometrically corrected using Lansat-7 ETM+ image, then DN values were transformed to radiance and apparent reflectance, and atmospheric correction of Hyperion image was made using FLAASH. The resulting radiance, apparent reflectance and reflectance after FLAASH of four typical objects, including corn, water body, desert and building, were compared. ASD spectra of com were resampled to Hyperion corresponding bands using Gaussian filter function. The comparison between ASD resampled spectra and Hyperion spectra after FLAASH demonstrated that the atmospheric correction using FLAASH is very effective and these two spectra are consistent with each other and the correlation coefficient reached 0.987.
中文关键词	Hyperion高光谱影像 ; 大气校正 ; 表观反射率 ; 重采样
英文关键词	FLAASH Hyperion hyperspectral image Atmospheric correction) FLAASHH Apparent reflectance Resampling
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:3586967
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/223786
作者单位	1.河北师范大学资源与环境科学学院, 河北省环境演变与生态建设实验室, 石家庄, 河北 050016, 中国; 2.中国科学院遥感应用研究所, 遥感科学国家重点实验室, 北京 100101, 中国
推荐引用方式 GB/T 7714	袁金国,牛铮,王锡平. 基于FLAASH的Hyperion高光谱影像大气校正[J],2009,29(5):1181-1185.
APA	袁金国,牛铮,&王锡平.(2009).基于FLAASH的Hyperion高光谱影像大气校正.,29(5),1181-1185.
MLA	袁金国,et al."基于FLAASH的Hyperion高光谱影像大气校正".29.5(2009):1181-1185.