Konferans bildirisi Açık Erişim
Nar, Fatih; Yilmaz, Erdal; Camps-Valls, Gustau
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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Nar, F., Yilmaz, E. ve Camps-Valls, G. (2018). SPARSITY-DRIVEN DIGITAL TERRAIN MODEL EXTRACTION. içinde . https://aperta.ulakbim.gov.tr/record/29071 adresinden erişildi.