ESMORIS, A.M., YERMO, M., ALCARAZ, S.R., SOUTULLO, S. und RIVERA, F.F., 2026. Deep Learning for Ultra-Large-Scale Semantic Segmentation of Geographic 3 D Point Clouds With Missing Labels. IEEE Access, Access, IEEE. 1 Januar 2026. Vol. 14, , p. 485-501. DOI 10.1109/ACCESS.2025.3647154.
Elsevier - Harvard (with titles)Esmoris, A., Yermo, M., Alcaraz, S., Soutullo, S., Rivera, F., 2026. Deep Learning for Ultra-Large-Scale Semantic Segmentation of Geographic 3 D Point Clouds With Missing Labels. IEEE Access, Access, IEEE 14, 485-501. https://doi.org/10.1109/ACCESS.2025.3647154
American Psychological Association 7th editionEsmoris, A., Yermo, M., Alcaraz, S., Soutullo, S., & Rivera, F. (2026). Deep Learning for Ultra-Large-Scale Semantic Segmentation of Geographic 3 D Point Clouds With Missing Labels. IEEE Access, Access, IEEE, 14, 485-501. https://doi.org/10.1109/ACCESS.2025.3647154
Springer - Basic (author-date)Esmoris A, Yermo M, Alcaraz S, Soutullo S, Rivera F (2026) Deep Learning for Ultra-Large-Scale Semantic Segmentation of Geographic 3 D Point Clouds With Missing Labels. IEEE Access, Access, IEEE 14:485-501. https://doi.org/10.1109/ACCESS.2025.3647154
Juristische Zitierweise (Stüber) (Deutsch)Esmoris, A.M./ Yermo, M./ Alcaraz, S.R./ Soutullo, S./ Rivera, F.F., Deep Learning for Ultra-Large-Scale Semantic Segmentation of Geographic 3 D Point Clouds With Missing Labels, IEEE Access, Access, IEEE 2026, 485-501.