The application of thermal inferred hyperspectral remote sensing in ore exploration is a hot topic worldwide. In contrast to the visible and near inferred spectrum, thermal inferred spectrum of mixed materials can be easily unmixed using linear unmixed theory, which permits the content of silicate mineral to be qualitatively estimated. Since lots of ore deposits are spatially associated with quartz and silicate veins, the recognition of these two kinds of veins contribute to ore exploration work. The airborne thermal inferred hyperspectral remote sensing images due to its high spatial and spectral resolutions, can recognize quartz and silicate veins in small scales, thus benefits geological ore exploration. In this study, we acquired the thermal inferred hyperspectral remote sensing data covering the Liuyuan—Fangshankou and Xiemistian areas based on the TASI imager of National Key Laboratory of Science and Technology on Remote Sensing Information and Image Analysis, in an attempt to identify quartz and silicate veins. An application example was used to evaluate the capability of thermal inferred hyperspectral remote sensing in ore prospecting.