成像光谱遥感定标模型的分析与评价

通过对目前国际上流行的几种光谱定标模型的分析研究，发现：基于图像结构特征的定标模型具有丢失光谱特征的缺点；基于ＲＴ定标模型对水汽过分敏感；基于ＥＬ的定标模型对地形要求严格；而基于光谱混合理论的定标模型其内部算法仍需改进，等等。由此，在实际工作中，根据实际工作条件和应用要求进行定标模型的取舍是十分重要的

Analysis and Evaluation of Spectral Calibration Model for Imaging Spectral Remote Sensing

Several famous calibration algorithms have been studied and found that the image structure calibration algorithm may be of loss of spectrum signature,the RT algorithm is very sensive to atmospheric water vapour;the EL algorithm is effective only on plain areas;the spectrum mixture algorithm is not perfect and so on.These conclusions are very important for practical application of imaging spectral remote sensing.