Atmospheric correction of remote sensing data is a prerequisite for quantitative remote sensing valuation, what will have a direct impact on the later quantitative analysis, information extraction and remote sensing applications. Choosed the multi-angle hyperspectral CHRIS/Proba data of Changbai Mountain area on Aug 30, 2008, according to the characteristics of vegetation patterns in multi-angle hyperspectral CHRIS data, filter methods are used for stripe noises removal, atmospheric correction are carried out based on the principle of M()DTRAN model, and results are compared with the transit M()DIS atmospheric correction products at the same time, the maximum reflectivity error within the same wavelength is 0.001 6, what provides an important basis for further quantitative remote sensing inversion of vegetation parameters, biomass and other information.%遥感数据大气校正是进行定量遥感的前提,大气校正的好坏直接影响到后期的定量分析、信息提取和遥感应用.选择长白山地区2008年8月30日的多角度高光谱CHRIS/Proba数据为研究对象,根据多角度高光谱CHRIS数据植被模式的特点,利用滤波进行条带噪声去除;根据MODTRAN模型原理进行多角度高光谱CHRIS/Proba植被模式数据大气校正,并对校正结果与同时过境的MODIS数据大气校正产品进行对比分析.在相同波长范围内的最大反射率误差为0.001 6,为进一步定量反演植被参数、生物量等信息提供了重要依据.
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