中文摘要：

大气校正的目的是部分消除和减弱大气辐射的影响,提高影像质量,增加地物之间的光谱可分性,是进行定量反演的基础。通过使用大气校正模块FLAASH,选择合适的大气模式、水汽含量、气溶胶模型、波谱分辨率和多散射模型等参数,对黄丰桥林场的Hyperion高光谱遥感影像进行大气校正,比较了校正前后地物的光谱反射曲线,并将它们与地面同步测量的地物光谱曲线进行对比与数据拟合。结果表明,经过大气校正后的地物光谱曲线和地面观测到的光谱曲线具有较好的一致性,数据拟合分析表明二者之间具有很强的线性相关,决定系数为0.943。

英文摘要：

Atmospheric correction of remote sensing image is the premise of quantitative remote sensing,which could partly eliminate or weaken the impact of atmospheric radiation,improve image quality,and increase the spectral separability among surface features.The mechanics and methods of the FLAASH atmospheric correction model were applied in Huangfengqiao forestry farm,Youxian county,including atmospheric model,aerosol model,water absorption feature,initial visibility,etc.Compared before and after correction features of the spectral reflectance curves,the ground synchronized spectra ourves were fitted with the reflectance curves.The comparison between ASD resampled spectra and Hyperion spectra after FLAASH demonstrated that the atmospheric correction using FLAASH was very effective and these two spectra were consistent with each other and the correlation coefficient reached 0.943.