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.

我们提出了一种从光谱场景中推断大气传输剖面的框架。该框架利用一个轻量级、基于物理的模拟器，通过自动微分和可微编程来构建一个替代的大气剖面模型，以模拟观测数据。我们通过（i）进行大气校正，（ii）重新构建不同模态间的光谱数据（例如地表和传感器的辐射和反射率），以及（iii）推断大气传输剖面，如吸收带和它们的相对强度，展示了该方法的实用性。