Login
Register
Reset Password
Publish & Distribute
Publishing Solutions
Distribution Solutions
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Blog
Contact
Search
EUR
USD
GBP
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Artificial Satellites
Volume 58 (2023): Issue 3 (September 2023)
Open Access
A Proposed Merging Methods of Digital Elevation Model Based on Artificial Neural Network and Interpolation Techniques for Improved Accuracy
Mustafa K. Alemam
Mustafa K. Alemam
,
Bin YONG
Bin YONG
and
Abubakar Sani-Mohammed
Abubakar Sani-Mohammed
| Oct 10, 2023
Artificial Satellites
Volume 58 (2023): Issue 3 (September 2023)
About this article
Previous Article
Next Article
Abstract
Article
Figures & Tables
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Published Online:
Oct 10, 2023
Page range:
122 - 170
Received:
Feb 06, 2023
Accepted:
Nov 09, 2023
DOI:
https://doi.org/10.2478/arsa-2023-0009
Keywords
digital elevation model
,
GIS
,
artificial neural network
,
interpolation methods
,
SRTM
© 2023 Mustafa K. Alemam et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.