- Article
(2138 KB) - Metadata XML
- August 09, 2025
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
- |
- 𝕏
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-57-2023
© Author(s) 2023. 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-annals-X-1-W1-2023-57-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
05 Dec 2023
| 05 Dec 2023
A SHALLOW NEURAL NETWORK MODEL FOR URBAN LAND COVER CLASSIFICATION USING VHR SATELLITE IMAGE FEATURES
M. Fawzy
Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111, Budapest, Hungary
Civil Eng. Dept., Faculty of Engineering, South Valley University, Qena, Egypt
G. Szabó
Institute of Mathematics and Informatics, University of Nyíregyháza, Sóstói út 31/b A ép.112, H-4400, Nyíregyháza, Hungary
Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics, 3 Műegyetem rkp., K Building First Floor 31., H-1111, Budapest, Hungary
Related authors
Mohammad Dowajy, Mohamed Fawzy, Arpad Barsi, and Tamás Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 389–394, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-389-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-389-2025, 2025
Mohamed Fawzy, Attila Juhász, and Arpad Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 459–465, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-459-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-459-2025, 2025
Mohamed Fawzy and Árpád Barsi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 245–252, https://doi.org/10.5194/isprs-annals-X-G-2025-245-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-245-2025, 2025
Mohammad Dowajy, Mohamed Fawzy, Arpad Barsi, and Tamás Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 389–394, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-389-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-389-2025, 2025
Mohamed Fawzy, Attila Juhász, and Arpad Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 459–465, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-459-2025, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-459-2025, 2025
Mohamed Fawzy and Árpád Barsi
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-G-2025, 245–252, https://doi.org/10.5194/isprs-annals-X-G-2025-245-2025, https://doi.org/10.5194/isprs-annals-X-G-2025-245-2025, 2025
Hussein Abdulmuttalib, Mulhim Al Doori, Árpád Barsi, Thomas Blaschke, Yunya Gao, Zsofia Kugler, Stefan Lang, Gyorgy Szabo, and Dirk Tiede
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 1–11, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, https://doi.org/10.5194/isprs-annals-X-3-2024-1-2024, 2024
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 835–840, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-835-2023, 2023
V. Horváth and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 895–900, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-895-2023, 2023
J. M. Lógó and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 383–388, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-383-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2022, 343–348, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-343-2022, 2022
M. Barsi and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 9–14, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-9-2021, 2021
J. M. Lógó, N. Krausz, V. Potó, and A. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2021, 389–394, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, https://doi.org/10.5194/isprs-archives-XLIII-B4-2021-389-2021, 2021
A. Barsi, A. Csepinszky, N. Krausz, H. Neuberger, V. Poto, and V. Tihanyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W16, 41–45, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, https://doi.org/10.5194/isprs-archives-XLII-2-W16-41-2019, 2019
Z. Kugler, G. Szabó, H. M. Abdulmuttalib, C. Batini, H. Shen, A. Barsi, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 315–320, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, https://doi.org/10.5194/isprs-archives-XLII-4-315-2018, 2018
V. Potó, A. Csepinszky, and Á. Barsi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 917–921, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, https://doi.org/10.5194/isprs-archives-XLII-2-917-2018, 2018
F. Albrecht, T. Blaschke, S. Lang, H. M. Abdulmutalib, G. Szabó, Á. Barsi, C. Batini, A. Bartsch, Zs. Kugler, D. Tiede, and G. Huang
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 15–22, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, https://doi.org/10.5194/isprs-archives-XLII-3-15-2018, 2018
Á. Barsi, Zs. Kugler, I. László, Gy. Szabó, and H. M. Abdulmutalib
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 61–67, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, https://doi.org/10.5194/isprs-archives-XLII-3-61-2018, 2018
Ákos Török, Árpád Barsi, Gyula Bögöly, Tamás Lovas, Árpád Somogyi, and Péter Görög
Nat. Hazards Earth Syst. Sci., 18, 583–597, https://doi.org/10.5194/nhess-18-583-2018, https://doi.org/10.5194/nhess-18-583-2018, 2018
Short summary
Short summary
The present study demonstrates the application of drones and terrestrial laser scanner in stability assessment of steep, hardly accessible rock slopes that can endanger human lives. These technologies can be deployed very quickly, but data processing requires time. For reliable hazard evaluation, besides these techniques, engineering geological field work, laboratory tests of the mechanical properties of rocks and computer simulations are also necessary.
N. Rehany, A. Barsi, and T. Lovas
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W8, 213–220, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W8-213-2017, 2017
C. Batini, T. Blaschke, S. Lang, F. Albrecht, H. M. Abdulmutalib, Á. Barsi, G. Szabó, and Zs. Kugler
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 447–453, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-447-2017, 2017
A. Barsi, T. Lovas, B. Molnar, A. Somogyi, and Z. Igazvolgyi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B3, 465–468, https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016, https://doi.org/10.5194/isprs-archives-XLI-B3-465-2016, 2016
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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org