中文摘要：

高光谱遥感影像光谱信息丰富,但在成像过程中会产生误差,特别是受大气和光照等因素的影响较大,为获取真实的地表信息,必须对其进行大气校正。以湖南省攸县黄丰桥国有林场为研究区域,2010年12月28日获取的Hyperion高光谱影像为数据源,对其进行了几何校正和大气校正,并比较不同地物大气校正前后光谱特征。结果表明：FLAASH大气校正速度快,可有效复原地物的地表反射率;Hyperion影像经大气校正后,植被呈现出绿峰和红谷的典型植被反射率光谱曲线,在427～712nm反射率比校正之前降低,而大于712nm的结果则相反;FLAASH能有效消除Hyperion影像的大气影响,校正后影像质量明显提高;大气校正后植被类间区分度增加,有利于提高植被的识别精度。

英文摘要：

There was much spectral information contained in hyperspectral remote sensing images.In order to reduce the effects of atmospheric and illumination,obtain true surface information,atmospheric correction was essential.The hyperspectral remote sensing images,which was acquired on December 28,2010.Huangfeng national forest in Youxian of Hunan province,received geometric correction and atmospheric correction,the spectral features of different landmarks of Hyperion image before and after atmospheric correction were compared.The results show that FLAASH atmospheric correction was fast,by which land surface reflectance can be recovered effectively.After atmospheric correction,vegetation presented a green peak and valley,which was typical spectral curve of green vegetation.The reflectance was lower than apparent reflectance between 427 nm and 712 nm,but the result was on the contrary in other bands that were biger than 712 nm bands.Through FLAASH atmospheric correction,the influence of atmospheric can be eliminated effectively and the vegetation differences were increased,which was helpful to improve the accuracy of vegetation recognition.