Improved Alpha Residuals for Target Detection in Thermal Hyperspectral Imaging

This letter presents a new method to compute alpha residuals (AR) in longwave infrared hyperspectral images. AR allow emissivity-based target detection being them a quantity, related to the target emissivity, which is less prone to errors in the estimated temperature. The proposed method improves existing approaches taking into account also the contribution of the atmospheric emitted radiance reflected by the object. Experimental results over synthetic data show the better performance of the new approach.

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