“…In fact, the different TES strategies have been derived starting from different assumptions, and using different approximations/simplifications, strictly related to the characteristics of the sensor (radiometric, spatial, and spectral resolution), and to the spectrum of materials searched in the scene. As shown in (Li, Z., 1999), and recently in (Pieper, M. et al, 2017), the performance prediction of various TES algorithms represents a challenging problem, since the literature lacks a precise methodology, aimed to exploit a common dataset, trials, and indexes, in order to assist in the choice of the proper TES algorithm during the planning of a remote sensing mission. The choice of the most suitable algorithm is critical because the accuracy of the technique affects the performance of the subsequent processing procedures, such as detection, unmixing, and classification.…”