Citation notice #8847 · 2026-08-07 06:18:55.907601+00:00

An Object-Based Deep Learning Approach for Building Height Estimation from Single SAR Images

cites EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings, which carries a correction notice dated 2023-04-18. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

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01Evidence

Raw extraction · citation context · bibliography index 16

2010.01.001. 16. Milojevic-Dupont, Nikola and Wagner, Felix.; Nachtigall, F.; Hu, J.; Brüser, G.B.; Zumwald, M.; Biljecki, F.; Heeren, N.; Kaack, L.H.; Pichler, P .P .; Creutzig, F. EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. Scientific Data 2023, 10, 147. https://doi.org/10.1038/s41597-023-02040-2. 17. Egger, P .; Rao, S.X.; Papini, S. Building Floorspace in China: A Dataset and Learning Pipeline, 2023, [arXiv:cs.CV/2303.02230]. 18. Wangiyana, S.; Samczy ' nski, P .; Gromek, A. Data augmentation for building footprint segmenta- tion in SAR images: an empirical study. Remote Sensing 2022, 14, 2012. 19. He, K.; Zhang, X.; Ren, S.; Sun, J. Deep residual learning for image recognition.

Parser render (TeX stripped for reading; raw above is the evidence)

2010.01.001. 16. Milojevic-Dupont, Nikola and Wagner, Felix.; Nachtigall, F.; Hu, J.; Brüser, G.B.; Zumwald, M.; Biljecki, F.; Heeren, N.; Kaack, L.H.; Pichler, P .P .; Creutzig, F. EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings. Scientific Data 2023, 10, 147. https://doi.org/10.1038/s41597-023-02040-2. 17. Egger, P .; Rao, S.X.; Papini, S. Building Floorspace in China: A Dataset and Learning Pipeline, 2023, [arXiv:cs.CV/2303.02230]. 18. Wangiyana, S.; Samczy ' nski, P .; Gromek, A. Data augmentation for building footprint segmenta- tion in SAR images: an empirical study. Remote Sensing 2022, 14, 2012. 19. He, K.; Zhang, X.; Ren, S.; Sun, J. Deep residual learning for image recognition

02Event

Type

Correction

Source

Crossref

Original DOI

10.1038/s41597-023-02040-2

Notice DOI

10.1038/s41597-023-02141-y

Date

2023-04-18

Title

Author Correction: EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

Reasons

['Correction']

Work

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings (2023) Scientific Data

Schema constants (for re-runners): correction · crossref

03Dispute this notice

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