Yuan Jin-guo, Niu Zheng, Wang Xi-ping
Hebei Key Laboratory of Environmental Change and Ecological Construction, College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2009 May;29(5):1181-5.
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 ENVI 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 corn 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.
遥感影像的大气校正是定量遥感的前提。本文评估了ENVI软件中的FLAASH（光谱超立方体快速视线大气分析）对EO - 1 Hyperion高光谱影像进行大气校正的能力。于2007年9月10日获取了中国甘肃省黑河流域张掖市的Hyperion高光谱影像。在卫星过境期间，近实时测量了41个样地的冠层光谱、生化组分和GPS数据。利用Lansat - 7 ETM +影像对Hyperion高光谱影像进行几何校正，然后将DN值转换为辐射亮度和表观反射率，并使用FLAASH对Hyperion影像进行大气校正。比较了玉米、水体、沙漠和建筑物这四种典型地物在FLAASH处理后的辐射亮度、表观反射率和反射率。利用高斯滤波函数将玉米的ASD光谱重采样到Hyperion相应波段。ASD重采样光谱与FLAASH处理后的Hyperion光谱之间的比较表明，使用FLAASH进行大气校正非常有效，这两种光谱相互一致，相关系数达到0.987。
