Refinement of the Mars 2020 Terrain Relative Navigation HiRISE DTM Mosaic using Deep Learning (v2)

Abstract

We present an enhanced High-Resolution Imaging Science Experiment (HiRISE) digital terrain model (DTM) mosaic of the Mars 2020 landing site at Jezero crater. Our DTM mosaic is produced using the FUB MIST Toolbox (A Pre-Trained Deep Learning Toolbox for Mars Monocular Image to Surface Topography Estimation, Tao & Walter, 2023), which significantly improves the effective resolution and eliminates artefacts. To generate this product, we use the publicly available Mars 2020 TRN (Terrain Relative Navigation) orthoimage and DTM mosaics, provided by the United States Geological Survey (USGS), as inputs. The resultant HiRISE DTM mosaic is strictly co-aligned with the original USGS DTM and orthoimage mosaics, which are already co-aligned with the USGS Context Camera (CTX) based DTM and orthoimage mosaics, as well as the ESA/DLR/FUB High Resolution Stereo Camera (HRSC) level 5 DTM and orthoimage mosaics that cover the same area.