Novel Signal Processing Techniques For The Exploitation Of Thermal Hyperspectral Data (2020)
Abstract / truncated to 115 words
THIS doctoral thesis attemps to propose a novel signal processing chain, aimed to exploit data acquired by long wave infrared (LWIR) hyperspectral sensors. In the LWIR, infrared radiation from an object is directly related to its temperature, i.e. hotter the surface, higher the emitted thermal energy. Hyperspectral sensors capture the radiated energy from the objects (target) in a large number of consecutive spectral bands within the LWIR, e.g. with the aid of a prism, in order to estimate the spectrum(spectral emissivity) and the temperature of the surface material. In this framework, two main challenging tasks affect the development and the deployment of thermal hyperspectral sensors: - atmospheric correction: the process of estimate and compensate the ... toggle 6 keywordshyperspectral remote sensing – LWIR – thermal infrared – target detection – temperature and emissivity separation – alpha residuals
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