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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
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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.
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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
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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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