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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLVIII-2/W8-2024
https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-327-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLVIII-2-W8-2024-327-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
14 Dec 2024
| 14 Dec 2024
Deep Learning-Based AI-Assisted Visual Inspection Systems for Historic Buildings and their Comparative Performance with ChatGPT-4O
Mayank Mishra
University of Minho, ISISE, ARISE, Department of Civil Engineering, Guimarães, 4800-058, Portugal
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Kai Zhang
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Chiara Mea
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Luigi Barazzetti
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Francesco Fassi
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Fausta Fiorillo
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
Mattia Previtali
Dept. of Architecture, Built Environment and Construction engineering (ABC), Politecnico di Milano, Piazza Leonardo da Vinci 32, Milan, Italy
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E. Acosta, F. Spettu, and F. Fiorillo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 9–16, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-9-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-9-2022, 2022
S. Antinozzi and F. Fiorillo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 25–32, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-25-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-25-2022, 2022
F. Banfi, R. Brumana, S. Roascio, M. Previtali, F. Roncoroni, A. Mandelli, and C. Stanga
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 49–56, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-49-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-49-2022, 2022
L. Barazzetti, A. M. Oteri, R. Pellicanò, A. Santoro, and C. Valiante
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 57–63, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-57-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-57-2022, 2022
L. Barazzetti, M. Previtali, and F. Roncoroni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 65–71, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-65-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-65-2022, 2022
F. Marotta, C. Achille, G. Vassena, and F. Fassi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 351–358, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-351-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-351-2022, 2022
L. Perfetti and F. Fassi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 435–442, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-435-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-435-2022, 2022
S. Teruggi and F. Fassi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-2-W1-2022, 489–496, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-489-2022, https://doi.org/10.5194/isprs-archives-XLVI-2-W1-2022-489-2022, 2022
M. Gabriele and M. Previtali
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-4-W2-2021, 167–174, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-167-2021, https://doi.org/10.5194/isprs-annals-VIII-4-W2-2021-167-2021, 2021
L. Wong, W. Rose, A. Dhanda, A. Flavin, L. Barazzetti, C. Ouimet, and M. Santana Quintero
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 851–857, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-851-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-851-2021, 2021
C. Stanga, R. Brumana, M. Previtali, A. G. Landi, and F. Banfi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 721–728, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-721-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-721-2021, 2021
A. Santoro, L. Barazzetti, and V. Pracchi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 669–676, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-669-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-669-2021, 2021
O. E. C. Prizeman and L. Barazzetti
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 555–562, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-555-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-555-2021, 2021
F. Fiorillo, G. Rizzi, and C. Achille
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 225–232, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-225-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-225-2021, 2021
C. M. Bolognesi, S. Teruggi, and F. Fiorillo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 71–78, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-71-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-71-2021, 2021
C. Achille, F. Fassi, A. Mandelli, C. Del Pero, F. Leonforte, and N. Aste
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-M-1-2021, 1–8, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-1-2021, https://doi.org/10.5194/isprs-archives-XLVI-M-1-2021-1-2021, 2021
L. Barazzetti
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 41–48, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-41-2021, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-41-2021, 2021
S. Teruggi, E. Grilli, F. Fassi, and F. Remondino
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., VIII-M-1-2021, 155–162, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, https://doi.org/10.5194/isprs-annals-VIII-M-1-2021-155-2021, 2021
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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