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AetherGeo: A Spectral Analysis Interface for Geologic Mapping

Title
AetherGeo: A Spectral Analysis Interface for Geologic Mapping
Type
Article in International Scientific Journal
Year
2025
Authors
Santos, G
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Teodoro, AC
(Author)
Other
The person does not belong to the institution. The person does not belong to the institution. The person does not belong to the institution. Without AUTHENTICUS Without ORCID
Journal
Title: AlgorithmsImported from Authenticus Search for Journal Publications
Vol. 57
Final page: 378
ISSN: 1999-4893
Publisher: MDPI
Other information
Authenticus ID: P-018-YK7
Abstract (EN): <jats:p>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.</jats:p>
Language: English
Type (Professor's evaluation): Scientific
Documents
File name Description Size
algorithms-18-00378-v2 Artigo em revista internacional 3118.04 KB
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