In our earlier paper, we have implemented an automated atmospheric compensation algorithm for Thermal Emission Imaging System (THEMIS) images. Moreover, we also implemented a pansharpening approach to fusing THEMIS and Thermal Emission Spectrometer (TES) images. Our objective in this paper is to investigate the performance of mineral abundance estimation using the original TES images and pansharpened TES images. To achieve the above objective, we focus on the Ares Vallis area on Mars, which has been well studied in the literature. Comparing our preliminary results with published results in the literature, we observed that the general trend is similar, but some concentration estimates are different. Due to lack of ground truth, it is hard to judge which results are better at this point. Nevertheless, the results are encouraging and more studies are needed in the future.
