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    <identifier>10.57760/sciencedb.j00297.00007</identifier>
    <datestamp>2026-09-11T09:34:21Z</datestamp>
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  <dc:date>2026-09-11</dc:date>
  <dc:title>XuanJian-RSAR: A SAR Rotated Bounding Box Detection Dataset for Fine-grained Detection</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00297.00007</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains single-look complex images of Sentinel-1, ERS, and ENVISAT SAR data with unintentional interference. This dataset aims to provide a reliable and practical data benchmark for researchers and engineers in the field of SAR signal processing, and to facilitate the development and verification of SAR interference suppression technology. The dataset is stored in TIFF format and MATLAB's MAT format, and is suitable for reading and processing on the MATLAB platform.</dc:description>
  <dc:subject>synthetic aperture radar( SAR); rotated object detection; fine-grained recognition; SAR dataset; weakly supervised  annotation</dc:subject>
  <dc:creator>Liang Qiang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.16592/j.cnki.1004-7859.20260810001</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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