We present a framework for inferring an atmospheric transmission profile from a spectral scene. This framework leverages a lightweight, physics-based simulator that is automatically tuned - by virtue of autodifferentiation and differentiable programming - to construct a surrogate atmospheric profile to model the observed data. We demonstrate utility of the methodology by (i) performing atmospheric correction, (ii) recasting spectral data between various modalities (e.g. radiance and reflectance at the surface and at the sensor), and (iii) inferring atmospheric transmission profiles, such as absorbing bands and their relative magnitudes.

翻译：我们提出了一种从光谱场景中推断大气传输廓线的框架。该框架利用轻量级物理仿真器，通过自动微分与可微分编程实现自动调参，构建大气廓线的替代模型以拟合观测数据。我们通过以下三个方面验证该方法的实用性：(i) 执行大气校正；(ii) 在不同模态间重构光谱数据（如地表与传感器处的辐亮度及反射率）；(iii) 推断大气传输廓线（例如吸收带及其相对强度）。