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    <responseDate>2026-10-14T18:24:32Z</responseDate>
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    <identifier>10.57760/sciencedb.28677</identifier>
    <datestamp>2025-09-30T14:06:13Z</datestamp>
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  <dc:date>2025-09-30</dc:date>
  <dc:title>Urban Informal Settlements Mapping in Wuhan(WuhanUIS)</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.28677</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The WuhanUIS dataset was independently constructed in this study to support experiments on urban informal settlements (UIS) classification. Specific areas in Wuhan were first identified, and street-level images were collected using the Baidu Map Street View API. For each selected location, four street view images were captured from different angles (0&amp;deg;, 90&amp;deg;, 180&amp;deg;, and 270&amp;deg;). Centered on the geographical coordinates of each street view location, high, medium, and low-resolution remote sensing images (RSI) were obtained from Google Earth. Each image has a size of 256&amp;times;256 pixels with three color channels. Thus, each data point contains three RSI of different resolutions (each shaped as 3&amp;times;256&amp;times;256) and four street view images (SVI) from different perspectives (each shaped as 3&amp;times;256&amp;times;256). In total, 3,832 valid instances were collected, including 1,500 UIS samples and 2,332 Others samples.&amp;nbsp;</dc:description>
  <dc:subject>WuhanUIS; urban informal settlements; remote sensing images</dc:subject>
  <dc:creator>Hu Jun</dc:creator>
  <dc:creator>Ren Tianyi</dc:creator>
  <dc:creator>Zhang Liner</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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