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A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy Cover

A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy

Artificial Satellites
Volume 58 (2023): Issue 3 (September 2023)
By: Mustafa K. Alemam,  Bin YONG and  Abubakar Sani-Mohammed  
Open Access
|Oct 2023

Authors

Mustafa K. Alemam

mustafaalemam2014@gmail.com

School of Earth Sciences and Engineering, Hohai University, Nanjing, China
Faculty of Engineering, Assiut University, Assiut, Egypt

Bin YONG

School of Earth Sciences and Engineering, Hohai University, Nanjing, China
State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing, China

Abubakar Sani-Mohammed

Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
DOI: https://doi.org/10.2478/arsa-2023-0009 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
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Language: English
Page range: 122 - 170
Submitted on: Feb 6, 2023
Accepted on: Nov 9, 2023
Published on: Oct 10, 2023
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
digital elevation model,
GIS,
artificial neural network,
interpolation methods,
SRTM
Related subjects:
Geosciences,
Geosciences, other

© 2023 Mustafa K. Alemam, Bin YONG, Abubakar Sani-Mohammed, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.

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