{"title":"3D Reconstruction of Astronomical Site Selection Based on Multi-Source Remote Sensing","authors":"Xinhua Huang, Haocheng Liu, Qingkai Meng","doi":"10.1109/ICARCE55724.2022.10046589","DOIUrl":null,"url":null,"abstract":"The significance of astronomical site selection in site selection impacts the extent of utilization of astronomical science equipment and the accessibility of observation findings, which is related to both the progress of astronomical science and the expensive resource investment. In order to show the topography and important geographic factors of the Saishten Mountains and Xueshan Pastures potential areas. In this study, we undertake a 3D reconstruction of the astronomical site selection region using Chinese Gaofen satellite images, tailored high-resolution dem data, and a 3D platform, offering a precise visualization help for site planning. The study results show that (1) The 3D reconstruction is quite effective and useful for site selection, according to the results. (2) All candidate locations offer favorable topography, terrain, and elevation characteristics for the astronomical site selection, with the exception of the candidate site in the Saishten Mountains, which necessitates additional thought for the engineering and geological safety of the site selection. (3) Each candidate site's platform area is suitable for the deployment of astronomical research equipment, but the platform space at Snow Mountain Ranch is particularly well suited for the positioning of sizable astronomical scientific equipment.","PeriodicalId":416305,"journal":{"name":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Automation, Robotics and Computer Engineering (ICARCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARCE55724.2022.10046589","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The significance of astronomical site selection in site selection impacts the extent of utilization of astronomical science equipment and the accessibility of observation findings, which is related to both the progress of astronomical science and the expensive resource investment. In order to show the topography and important geographic factors of the Saishten Mountains and Xueshan Pastures potential areas. In this study, we undertake a 3D reconstruction of the astronomical site selection region using Chinese Gaofen satellite images, tailored high-resolution dem data, and a 3D platform, offering a precise visualization help for site planning. The study results show that (1) The 3D reconstruction is quite effective and useful for site selection, according to the results. (2) All candidate locations offer favorable topography, terrain, and elevation characteristics for the astronomical site selection, with the exception of the candidate site in the Saishten Mountains, which necessitates additional thought for the engineering and geological safety of the site selection. (3) Each candidate site's platform area is suitable for the deployment of astronomical research equipment, but the platform space at Snow Mountain Ranch is particularly well suited for the positioning of sizable astronomical scientific equipment.