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Combined No–Reference Metrics for Quality Assessment of Reconstructed Satellite Lidar Data Cover

Combined No–Reference Metrics for Quality Assessment of Reconstructed Satellite Lidar Data

Open Access
|Sep 2026

Authors

Krzysztof Okarma

okarma@zut.edu.pl

Department of Signal Processing and Multimedia Engineering West Pomeranian University of Technology in Szczecin, Szczecin, Poland

Mateusz Kopytek

mateusz-kopytek@zut.edu.pl

Department of Signal Processing and Multimedia Engineering West Pomeranian University of Technology in Szczecin, Szczecin, Poland

Piotr Lech

piotr.lech@zut.edu.pl

Department of Signal Processing and Multimedia Engineering West Pomeranian University of Technology in Szczecin, Szczecin, Poland

Oleg Ieremeiev

o.ieremeiev@khai.edu

Department of Information-Communication Technologies National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

Vladimir V. Lukin

v.lukin@khai.edu

Department of Information-Communication Technologies National Aerospace University “Kharkiv Aviation Institute”, Kharkiv, Ukraine

Andres Ramirez-Jaime

aramjai@udel.edu

Department of Electrical and Computer Engineering University of Delaware, Newark, USA

Nestor Porras-Diaz

nestorfe@udel.edu

Department of Electrical and Computer Engineering University of Delaware, Newark, USA

Gonzalo R. Arce

arce@udel.edu

Department of Electrical and Computer Engineering University of Delaware, Newark, USA
DOI: https://doi.org/10.61822/amcs-2026-0027 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 419 - 432
Submitted on: Oct 31, 2025
Accepted on: Apr 24, 2026
Published on: Sep 19, 2026
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Krzysztof Okarma, Mateusz Kopytek, Piotr Lech, Oleg Ieremeiev, Vladimir V. Lukin, Andres Ramirez-Jaime, Nestor Porras-Diaz, Gonzalo R. Arce, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.