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Article

AetherGeo: A Spectral Analysis Interface for Geologic Mapping

by
Gonçalo Santos
1,
Joana Cardoso-Fernandes
2,* and
Ana C. Teodoro
2
1
Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre s/n, 4169-007 Porto, Portugal
2
Institute of Earth Sciences, Faculty of Sciences, University of Porto, Rua Campo Alegre s/n, 4169-007 Porto, Portugal
*
Author to whom correspondence should be addressed.
Algorithms 2025, 18(7), 378; https://doi.org/10.3390/a18070378 (registering DOI)
Submission received: 17 April 2025 / Revised: 14 June 2025 / Accepted: 19 June 2025 / Published: 21 June 2025
(This article belongs to the Section Algorithms for Multidisciplinary Applications)

Abstract

AetherGeo is a standalone piece of software (current version 1.0) that aims to enable the user to analyze raster data, with a special focus on processing multi- and hyperspectral images. Being developed in Python 3.12.4, this application is a free, open-source alternative for spectral analysis, something considered beneficial for researchers, allowing for a flexible approach to start working on the topic without acquiring proprietary software licenses. It provides the user with a set of tools for spectral data analysis through classical approaches, such as band ratios and RGB combinations, but also more elaborate techniques, such as endmember extraction and unsupervised image classification with partial spectral unmixing techniques. While it has been tested on visible and near-infrared (VNIR), short-wave infrared (SWIR), and VNIR-SWIR datasets, the functions implemented have the potential to be applied to other spectral ranges. On top of this, all results can be visualized within the software, and some tools allow for the inspection and comparison of spectra and spectral libraries. Providing software with these capabilities in a unified platform has the potential to positively impact research and education, as students and educators usually have limited access to proprietary software.
Keywords: hyperspectral imaging; target identification; image classification; dimensionality reduction; endmember extraction; spectral analysis hyperspectral imaging; target identification; image classification; dimensionality reduction; endmember extraction; spectral analysis

Share and Cite

MDPI and ACS Style

Santos, G.; Cardoso-Fernandes, J.; Teodoro, A.C. AetherGeo: A Spectral Analysis Interface for Geologic Mapping. Algorithms 2025, 18, 378. https://doi.org/10.3390/a18070378

AMA Style

Santos G, Cardoso-Fernandes J, Teodoro AC. AetherGeo: A Spectral Analysis Interface for Geologic Mapping. Algorithms. 2025; 18(7):378. https://doi.org/10.3390/a18070378

Chicago/Turabian Style

Santos, Gonçalo, Joana Cardoso-Fernandes, and Ana C. Teodoro. 2025. "AetherGeo: A Spectral Analysis Interface for Geologic Mapping" Algorithms 18, no. 7: 378. https://doi.org/10.3390/a18070378

APA Style

Santos, G., Cardoso-Fernandes, J., & Teodoro, A. C. (2025). AetherGeo: A Spectral Analysis Interface for Geologic Mapping. Algorithms, 18(7), 378. https://doi.org/10.3390/a18070378

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