@inproceedings{dfb5c73342bc4369adad926710fc5052,
title = "Towards Robust Evaluation of Super-Resolution Satellite Image Reconstruction",
abstract = "Super-resolution reconstruction (SRR) consists in processing an image or a bunch of images to generate a new image of higher spatial resolution. This problem has been intensively studied, but seldom is SRR applied in practice for satellite data. In this paper, we briefly review the state of the art on SRR algorithms and we argue that commonly adopted strategies for their evaluation do not reflect the operational conditions. We report our study on assessing the SRR outcome, relying on new quantitative measures. The obtained results allow us to outline the most important research pathways to improve the performance of SRR.",
keywords = "Image processing, Similarity measures, Super-resolution",
author = "Micha{\l} Kawulok and Pawe{\l} Benecki and Jakub Nalepa and Daniel Kostrzewa and {\L}ukasz Skonieczny",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG, part of Springer Nature.; 10th International scientific conferences on research and applications in the field of intelligent information and database systems, ACIIDS 2018 ; Conference date: 19-03-2018 Through 21-03-2018",
year = "2018",
doi = "10.1007/978-3-319-75417-8\_45",
language = "English",
isbn = "9783319754161",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "476--486",
editor = "Hoang Pham and Nguyen, \{Ngoc Thanh\} and Bogdan Trawinski and Hoang, \{Duong Hung\} and Tzung-Pei Hong",
booktitle = "Intelligent Information and Database Systems - 10th Asian Conference, ACIIDS 2018, Proceedings",
address = "Germany",
}