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In this paper, an improved method is proposed to simultaneously retrieve land surface temperature (LST), emissivity (LSE) and atmospheric profiles. This method employed the linear spectral emissivity constraint to efficiently reduce the number of retrieved variables. The proposed method was validated with some simulations. The initial guesses were derived from a neural network model. This method could...
Land surface temperature and emissivity separation (TES) is a basic problem in various thermal infrared (TIR) imagery applications. However, TES is essentially a typical nondeterministic inverse problem. From the late 1990's, a number of TES algorithms for hyperspectral TIR data have been developed based on various additional constrains. In this paper, different hyperspectral TIR TES methods, including...
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