1 Ocak 2018 Konferans bildirisi Açık Erişim

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

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    "creators": [
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        "affiliation": "Konya Food & Agr Univ, Konya, Turkey", 
        "name": "Nar, Fatih"
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      {
        "affiliation": "Zibumi Studios, Ankara, Turkey", 
        "name": "Yilmaz, Erdal"
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      {
        "affiliation": "Univ Valencia, IPL, Valencia, Spain", 
        "name": "Camps-Valls, Gustau"
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    "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.", 
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      "title": "IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM"
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    "publication_date": "2018-01-01", 
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    "title": "SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION"
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