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    <responseDate>2026-10-14T14:26:16Z</responseDate>
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    <identifier>10.57760/sciencedb.13299</identifier>
    <datestamp>2024-09-26T15:47:50Z</datestamp>
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  <dc:date>2024-09-26</dc:date>
  <dc:title>A high-precision optical satellite remote sensing images dataset of the Xuhui district in Shanghai for urban three-dimensional reconstruction</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.13299</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>There is still a lack of multi-view, high-resolution satellite image datasets with high pose estimation accuracy domestically and abroad. This severely hinders research on 3D reconstruction using satellite imagery. In response to this situation,&amp;nbsp;this study utilizes seven remote sensing scenes from the Beijing-3 satellite over the area surrounding the Shanghai Gymnasium in Xuhui District, Shanghai, from 2021-2023. Through image registration, adaptive HIS Pan-sharpening, rough RPC adjustment, and bundle adjustment optimization etc., two AOIs of 0.73 km2 and 0.25 km2 were obtained. This satellite image dataset will provide powerful data support for subsequent research on city-scale 3D reconstruction from satellite imagery, especially those based on NeRF frameworks.</dc:description>
  <dc:subject>urban three-dimensional reconstruction; Shanghai Xuhui area; high resolution; BJN3</dc:subject>
  <dc:creator>kong de yu</dc:creator>
  <dc:creator>He Jianjun</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.noda.2023.0012.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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