Atmospheric Correction of Multi-spectral Imagery ASTER
Atmospheric Correction of Multi-spectral Imagery ASTER
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发表时间：
2008
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通讯作者：
Yang Wu-nian
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作者：
Yang Wu-nian
由于大气的吸收和色散，测量值与目标值之间存在一定的误差。提出了一种对可见光和近红外数据进行大气效应订正的实用方法。该方法基于光谱超立方体的快速飞行线大气分析（FLAASH），用于ASTER可见光和近红外波段的大气校正。通过对比光谱亮度、归一化植被指数（NDVI）等校正前后的反射率数据进行敏感性分析，研究表明，采用归一化植被指数（NDVI）进行遥感影像大气校正，可以提高遥感影像的精度。
Because of the absorb and dispersion of atmosphere, there exist errors between the measured and true target values. It becomes serious impediments for the quantitative analysis and resources and environment measurements.An operational method of correcting visible and near-infrared data for atmospheric effects is presented. The method, which is based on FLAASH(Fast line-of-fight atmospheric analysis of spectral hypercubes),is used to atmospheric correction of ASTER visible and near-infrared bands. Sensitivity analysis is conducted by comparing corrected and uncorrected reflectance data including spectral brightness and normalized difference vegetation index(NDVI).The research indicates that the precision will be improved if NDVI is adopted,which is counted through the image of atmosphere correction.