1 Ocak 2018 Konferans bildirisi Açık Erişim

Nar, Fatih; Yilmaz, Erdal; Camps-Valls, Gustau

Dublin Core

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  <dc:creator>Nar, Fatih</dc:creator>
  <dc:creator>Yilmaz, Erdal</dc:creator>
  <dc:creator>Camps-Valls, Gustau</dc:creator>
  <dc:date>2018-01-01</dc:date>
  <dc:description>We here introduce an automatic Digital Terrain Model (DTM) extraction method. The proposed sparsity-driven DTM extractor (SD-DTM) takes a high-resolution Digital Surface Model (DSM) as an input and constructs a high-resolution DTM using the variational framework. To obtain an accurate DTM, an iterative approach is proposed for the minimization of the target variational cost function. Accuracy of the SD-DTM is shown in a real-world DSM data set. We show the efficiency and effectiveness of the approach both visually and quantitatively via residual plots in illustrative terrain types.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/29071</dc:identifier>
  <dc:identifier>oai:zenodo.org:29071</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>