地基Headwall高谱影像大气校正方法

遥感影像大气校正是定量遥感研究的前提与难点之一.大气校正有多种方法和模型.本文研究了目前常用的大气校正方法，包括FLAASH模型、6S模型、ELC方法和QUAC方法，并应用这几种方法对Headwall野外高光谱成像仪获取的高光谱影像进行大气校正.通过对4种典型地物的表观反射率、校正后反射率以及实测反射率进行对比分析，发现4种模型均能有效去除大气的影响，能够较好地恢复地物光谱的典型特征.相对于其他3种大气校正方法，经验线性法对地基Headwall高光谱影像校正效果最好. 

Atmospheric Correction Method for Ground-based Headwall Hyperspectral Imagery

Atmospheric correction of remote sensing imagery is one of the prerequisites and difficulties of the quantitative remote sensing research. There are many methods and models for atmospheric correction. Several common methods of atmospheric correction, including the FLAASH model, 6S model, ELC method, and QUAC method etc are discussed in this paper. These atmospheric correction methods are applied to Headwall hyperspectral imagery. The apparent reflectance, corrected reflectance, and the measured reflectance of four kinds of typical objects in the study area are compared. The result shows that these four models can effectively remove the influence of the atmosphere, and it can basically restore the representative characteristics of typical objects spectrum. The performance of the ELC method is superior to the other methods in the atmospheric correction of ground-based Headwall hyperspectral imagery.