<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-14T16:27:02Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.38587" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.38587</identifier>
    <datestamp>2026-06-03T18:07:13Z</datestamp>
</header>
    <metadata>
        
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-06-03</dc:date>
  <dc:title>Multi-view GPR Radar Image Dataset for Pavement Subsurface Crack Recognition</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.38587</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is used for intelligent recognition research of hidden cracks on roads, including two types: simulated samples and real samples. The simulated samples were generated by gprMax software for 3D forward modeling, while the real samples were taken from actual road detection on the Kaifeng section of Lianhuo Expressway and a certain section of Shandong Expressway, using GeoScope &amp;trade; Mk IV 3D ground penetrating radar acquisition. Each group of samples includes three view images of the same crack location: B-scan, C-scan, and D-scan. After data augmentation, the dataset contains a total of 3437 sets of three view radar images, including 2463 sets for training, 616 sets for validation, and 358 sets for testing. This dataset can be used for research related to ground penetrating radar crack detection, multi view fusion, deep learning classification, and more.&amp;nbsp;</dc:description>
  <dc:subject>gpr; crack;  image classification</dc:subject>
  <dc:creator>2324912450</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>