J/A+A/684/A89 Advancements in 3D Shape Reconstruction of Phobos (Chen+, 2024) ================================================================================ Advancements in the 3D shape reconstruction of Phobos: An analysis of shape models and future exploration directions. Chen M., Yan J., Huang X., Zuo Z., Willner K., Xiang H., Barriot J.-P. =2024A&A...684A..89C (SIMBAD/NED BibCode) ================================================================================ ADC_Keywords: Models ; Planets Keywords: methods: data analysis - techniques: image processing - planets and satellites: Phobos - planets and satellites: surfaces Abstract: The research focuses on developing a high-precision and relatively high-resolution shape model of Phobos. We employed advanced photogrammetric techniques combined with novel computer vision methods to reconstruct Phobos's 3D shape from nearly 900 Mars Express/SRC and Viking Orbiter images. This research also involved comparing the newly developed shape model with previous models to identify differences for future missions. This shape model was used to generate new measurements of the volume (5740+/-30)km^2^, the surface area (1629+/-8)km^2^, and the bulk density (1847+/-11)kg/m^3^ of Phobos. By comparing our reconstructed shape model with prior models, we have identified key differences, especially in areas like the Opik crater and near the Shklovsky crater. These findings highlight critical areas warranting further investigation in future missions dedicated to exploring Phobos. Description: This is a high-precision Phobos shape model reconstructed by improving image matching based on the stereo-photogrammetric method. This is an untextured version, which has 171863 vertices and 341724 faces. File Summary: -------------------------------------------------------------------------------- FileName Lrecl Records Explanations -------------------------------------------------------------------------------- ReadMe 80 . This file phobos_untextured_model.obj 47 685466 The model -------------------------------------------------------------------------------- Acknowledgements: Min Chen, min_chen(at)whu.edu.cn ================================================================================ (End) Patricia Vannier [CDS] 21-Feb-2024