1 Ocak 2018 Konferans bildirisi Açık Erişim

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

JSON

{
  "conceptdoi": "10.81043/aperta.29070", 
  "conceptrecid": "29070", 
  "created": "2021-03-15T12:44:31.632465+00:00", 
  "doi": "10.81043/aperta.29071", 
  "files": [
    {
      "bucket": "2596d450-04af-4d0f-a1b4-61412a01b071", 
      "checksum": "md5:02696230ef0820a770aaa836e5dc7843", 
      "key": "bib-7a1a753c-25d7-46b6-adb5-1ea9d1380aad.txt", 
      "links": {
        "self": "https://aperta.ulakbim.gov.tr/api/files/2596d450-04af-4d0f-a1b4-61412a01b071/bib-7a1a753c-25d7-46b6-adb5-1ea9d1380aad.txt"
      }, 
      "size": 173, 
      "type": "txt"
    }
  ], 
  "id": 29071, 
  "links": {
    "badge": "https://aperta.ulakbim.gov.tr/badge/doi/10.81043/aperta.29071.svg", 
    "bucket": "https://aperta.ulakbim.gov.tr/api/files/2596d450-04af-4d0f-a1b4-61412a01b071", 
    "conceptbadge": "https://aperta.ulakbim.gov.tr/badge/doi/10.81043/aperta.29070.svg", 
    "conceptdoi": "https://doi.org/10.81043/aperta.29070", 
    "doi": "https://doi.org/10.81043/aperta.29071", 
    "html": "https://aperta.ulakbim.gov.tr/record/29071", 
    "latest": "https://aperta.ulakbim.gov.tr/api/records/29071", 
    "latest_html": "https://aperta.ulakbim.gov.tr/record/29071"
  }, 
  "metadata": {
    "access_right": "open", 
    "access_right_category": "success", 
    "communities": [
      {
        "id": "tubitak-destekli-proje-yayinlari"
      }
    ], 
    "creators": [
      {
        "affiliation": "Konya Food & Agr Univ, Konya, Turkey", 
        "name": "Nar, Fatih"
      }, 
      {
        "affiliation": "Zibumi Studios, Ankara, Turkey", 
        "name": "Yilmaz, Erdal"
      }, 
      {
        "affiliation": "Univ Valencia, IPL, Valencia, Spain", 
        "name": "Camps-Valls, Gustau"
      }
    ], 
    "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.", 
    "doi": "10.81043/aperta.29071", 
    "has_grant": false, 
    "license": {
      "id": "cc-by"
    }, 
    "meeting": {
      "title": "IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM"
    }, 
    "publication_date": "2018-01-01", 
    "related_identifiers": [
      {
        "identifier": "10.81043/aperta.29070", 
        "relation": "isVersionOf", 
        "scheme": "doi"
      }
    ], 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "29071"
          }, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "29070"
          }
        }
      ]
    }, 
    "resource_type": {
      "subtype": "conferencepaper", 
      "title": "Konferans bildirisi", 
      "type": "publication"
    }, 
    "title": "SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION"
  }, 
  "owners": [
    1
  ], 
  "revision": 1, 
  "stats": {
    "downloads": 11.0, 
    "unique_downloads": 10.0, 
    "unique_views": 115.0, 
    "version_downloads": 11.0, 
    "version_unique_downloads": 10.0, 
    "version_unique_views": 115.0, 
    "version_views": 115.0, 
    "version_volume": 1903.0, 
    "views": 115.0, 
    "volume": 1903.0
  }, 
  "updated": "2021-03-15T12:44:31.696503+00:00"
}