Obtaining the composition and concentration distribution of combustion products from spectroscopic data often amounts to solving an ill-posed problem, which impairs the accuracy of recovered parameters. This study evaluates the feasibility of using a thermochemical manifold reduction (TCMR) mechanism to reduce the number of unknown parameters, thereby decreasing the ill-posedness of the problem. The approach is demonstrated by recovering carbon dioxide and methane column densities within a flare plume using hyperspectral images. The results show marked improvement in retrieval accuracy for hyperspectral images in the case of carbon dioxide, but not for methane.

中文翻译：

---

使用热化学歧管还原增强燃烧产物的光学量化

从光谱数据中获取燃烧产物的成分和浓度分布通常等于解决一个不适定问题，这会损害回收参数的准确性。本研究评估了使用热化学歧管减少 (TCMR) 机制来减少未知参数数量的可行性，从而减少问题的不适定性。该方法通过使用高光谱图像恢复耀斑羽流中的二氧化碳和甲烷柱密度来证明。结果表明，在二氧化碳的情况下，高光谱图像的检索精度显着提高，但甲烷却没有。