دورية أكاديمية
أعرض في EDS

Three‐Dimensional Data Preparation and Immersive Mission‐Spanning Visualization and Analysis of Mars 2020 Mastcam‐Z Stereo Image Sequences

التفاصيل البيبلوغرافية
العنوان: Three‐Dimensional Data Preparation and Immersive Mission‐Spanning Visualization and Analysis of Mars 2020 Mastcam‐Z Stereo Image Sequences
المؤلفون: Gerhard Paar, Thomas Ortner, Christian Tate, Robert G. Deen, Parker Abercrombie, Marsette Vona, Jon Proton, Andreas Bechtold, Fred Calef, Robert Barnes, Christian Koeberl, Ken Herkenhoff, Elisabeth M. Hausrath, Christoph Traxler, Piluca Caballo, Andrew M. Annex, Sanjeev Gupta, James F. Bell III, Justin Maki
المصدر: Earth and Space Science, Vol 10, Iss 3, Pp n/a-n/a (2023)
بيانات النشر: American Geophysical Union (AGU), 2023.
سنة النشر: 2023
المجموعة: LCC:Astronomy
LCC:Geology
مصطلحات موضوعية: Mars exploration, visualization, Mars 2020, Mastcam‐Z, Astronomy, QB1-991, Geology, QE1-996.5
الوصف: Abstract The Mars 2020 Mastcam‐Z stereo camera investigation enables the generation of three dimension (3D) data products needed to visualize and analyze rocks, outcrops, and other geological and aeolian features. The Planetary Robotics Vision Processing framework “PRoViP” as well as the Instrument Data System on a tactical—sol‐by‐sol—timeframe generate 3D vision products, such as panoramas, distance maps, and textured meshes. Structure‐from‐motion used by the Advanced Science Targeting Toolkit for Robotic Operations (ASTTRO) “Landform” tool and long baseline stereo pipelines add to the 3D vision products' suite on various scales. Data fusion with textured meshes from satellite imagery and 3D data analysis and interpretation of the resulting large 3D data sets is realized by visualization assets like the Planetary Robotics Vision 3D Viewer PRo3D, the 3D Geographical Information System GIS CAMP (Campaign Analysis Mapping and Planning tool), the ASTTRO 3D data presentation and targeting tool, and the Mastcam‐Z planning tool Viewpoint. The pipelines' workflows and the user‐oriented features of the visualization assets, shared across the Mars 2020 mission, are reported. The individual role and interplay, complements and synergies of the individual frameworks are explained. Emphasis is laid on publicly available 3D vision data products and tools. A representative set of scientific use cases from planetary geology, aeolian activity, soil analysis and impact science illustrates the scientific workflow, and public data deployment modes are briefly outlined, demonstrating that 3D vision processing and visualization is an essential mission‐wide asset to solve important planetary science questions such as prevailing wind direction, soil composition, or geologic origin.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2333-5084
Relation: https://doaj.org/toc/2333-5084
DOI: 10.1029/2022EA002532
URL الوصول: https://doaj.org/article/2d3d60ea5f0443c6ba945779714d3018
رقم الأكسشن: edsdoj.2d3d60ea5f0443c6ba945779714d3018
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23335084
DOI:10.1029/2022EA002532