An atmospheric correction method for remotely sensed hyperspectral thermal infrared data

Atmospheric correction plays an important role in the retrieval of land surface temperatures and emissivities from remotely sensed thermal infrared images. When imaging technology upgrades from multispectral to hyperspectral, an opportunity appears that atmospheric compensation can be resolved only according to hyperspectral thermal infrared data itself. A set of methods is now proposed to carry out atmospheric correction for the purpose of land surface temperature/emissivity separation: A segmental linear model is proposed to retrieve water vapor line absorption transmittance, a ¿H₂O-CO₂ two channel groups¿ method is designed to retrieve water vapor continuum absorption transmittance, and a procedure to extract atmospheric upwelling radiance is presented. Tests with the simulated hyperspectral thermal infrared (TIR) data demonstrate that these techniques can provide good results for atmospheric compensation.