Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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APPLICATION OF MACHINE AND DEEP LEARNING STRATEGIES FOR THE CLASSIFICATION OF HERITAGE POINT CLOUDSGrilli, E. ; Özdemir, E. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2019-10, Vol.XLII-4/W18, p.447-454 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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2 |
Material Type: Artigo
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OPEN-SOURCE IMAGE-BASED 3D RECONSTRUCTION PIPELINES: REVIEW, COMPARISON AND EVALUATIONStathopoulou, E.-K. ; Welponer, M. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2019-11, Vol.XLII-2/W17, p.331-338 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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3 |
Material Type: Artigo
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Accuracy of typical photogrammetric networks in cultural heritage 3D modeling projectsNocerino, E. ; Menna, F. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2014, Vol.XL-5 (5), p.465-472 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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4 |
Material Type: Artigo
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AERIAL POINT CLOUD CLASSIFICATION WITH DEEP LEARNING AND MACHINE LEARNING ALGORITHMSÖzdemir, E. ; Remondino, F. ; Golkar, A.International archives of the photogrammetry, remote sensing and spatial information sciences., 2019-10, Vol.XLII-4/W18, p.843-849 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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5 |
Material Type: Artigo
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SEGMENTATION OF 3D PHOTOGRAMMETRIC POINT CLOUD FOR 3D BUILDING MODELINGÖzdemir, E. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2018-09, Vol.XLII-4/W10, p.135-142 [Periódico revisado por pares]Copernicus PublicationsTexto completo disponível |
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6 |
Material Type: Artigo
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Photogrammetry applied to Problematic artefactsNicolae, C. ; Nocerino, E. ; Menna, F. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2014, Vol.XL-5 (5), p.451-456 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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7 |
Material Type: Artigo
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INVESTIGATING 3D RECONSTRUCTION OF NON-COLLABORATIVE SURFACES THROUGH PHOTOGRAMMETRY AND PHOTOMETRIC STEREOKarami, A. ; Menna, F. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.519-526 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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8 |
Material Type: Artigo
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EVALUATING HAND-CRAFTED AND LEARNING-BASED FEATURES FOR PHOTOGRAMMETRIC APPLICATIONSRemondino, F. ; Menna, F. ; Morelli, L.International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.549-556 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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9 |
Material Type: Artigo
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UNSUPERVISED OBJECT-BASED CLUSTERING IN SUPPORT OF SUPERVISED POINT-BASED 3D POINT CLOUD CLASSIFICATIONGrilli, E. ; Poux, F. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.471-478 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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10 |
Material Type: Artigo
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EVALUATING TIE POINTS DISTRIBUTION, MULTIPLICITY AND NUMBER ON THE ACCURACY OF UAV PHOTOGRAMMETRY BLOCKSMousavi, V. ; Varshosaz, M. ; Remondino, F.International archives of the photogrammetry, remote sensing and spatial information sciences., 2021-06, Vol.XLIII-B2-2021, p.39-46 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |