1 Ocak 2010 Dergi makalesi Açık Erişim

Ozdemir, Bahadir; Aksoy, Selim; Eckert, Sandra; Pesaresi, Martino; Ehrlich, Daniele

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  <dc:creator>Ozdemir, Bahadir</dc:creator>
  <dc:creator>Aksoy, Selim</dc:creator>
  <dc:creator>Eckert, Sandra</dc:creator>
  <dc:creator>Pesaresi, Martino</dc:creator>
  <dc:creator>Ehrlich, Daniele</dc:creator>
  <dc:date>2010-01-01</dc:date>
  <dc:description>We propose a new procedure for quantitative evaluation of object detection algorithms. The procedure consists of a matching stage for finding correspondences between reference and output objects, an accuracy score that is sensitive to object shapes as well as boundary and fragmentation errors, and a ranking step for final ordering of the algorithms using multiple performance indicators. The procedure is illustrated on a building detection task where the resulting rankings are consistent with the visual inspection of the detection maps. (C) 2009 Elsevier B.V. All rights reserved.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/23707</dc:identifier>
  <dc:identifier>oai:zenodo.org:23707</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>PATTERN RECOGNITION LETTERS 31(10) 1128-1137</dc:source>
  <dc:title>Performance measures for object detection evaluation</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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