1 Ocak 2018 Konferans bildirisi Açık Erişim

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

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{
  "@context": "https://schema.org/", 
  "@id": 29071, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Konya Food & Agr Univ, Konya, Turkey", 
      "name": "Nar, Fatih"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Zibumi Studios, Ankara, Turkey", 
      "name": "Yilmaz, Erdal"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Univ Valencia, IPL, Valencia, Spain", 
      "name": "Camps-Valls, Gustau"
    }
  ], 
  "datePublished": "2018-01-01", 
  "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.", 
  "headline": "SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION", 
  "identifier": 29071, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION", 
  "url": "https://aperta.ulakbim.gov.tr/record/29071"
}