论文部分内容阅读
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
Based on the analysis of several popular spectral calibration models in the world, it is found that the calibration model based on the image structure features has the disadvantage of losing spectral features, the RT calibration model is excessively sensitive to water vapor, the calibration model based on EL The strict requirements on the terrain; and the spectral algorithm based on the calibration model of its internal algorithm still needs improvement, and so on. Therefore, in actual work, it is very important to choose the calibration model according to the actual working conditions and application requirements