*AT2ES***: Simultaneous Atmosphericȱ ȱ TransmittanceȬTemperatureȬEmissivity Separation Using Online Upper Midwave Infrared Hyperspectral Images**

**Sungho Kim 1,\*, Jungsub Shin <sup>2</sup> and Sunho Kim <sup>2</sup>**


This paper presented a method for atmospheric transmittance–temperature–emissivity separation (*AT2ES*) using online mid-wave infrared hyperspectral images. Conventionally, temperature and emissivity separation (TES) is a well-known problem in the remote sensing domain. However, previous approaches have used the atmospheric correction process before TES using MODTRAN in the long-wave infrared band. Simultaneous online atmospheric transmittance–temperature–emissivity separation starts with approximation of the radiative transfer equation in the upper mid-wave infrared band. The highest atmospheric band was used to estimate surface temperature, assuming high emissive

materials. The lowest atmospheric band (CO2 absorption band) was used to estimate air temperature. Through onsite hyperspectral data regression, atmospheric transmittance was obtained from the y-intercept and emissivity was separated using the observed radiance, the separated object temperature, the air temperature, and atmospheric transmittance. The novelty of the proposed method is in that it is the first attempt at simultaneous *AT2ES* and online separation without any prior knowledge and pre-processing. Mid-wave Fourier transform infrared (FTIR)-based outdoor experimental results validated the feasibility of the proposed *AT2ES* method.

V. **Hyperspectral Unmixing (one paper)**

remotesensingȬ12Ȭ04117Ȭv2
