AetherGeo: A Spectral Analysis Interface for Geologic Mapping
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, some...
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MDPI AG
2025-06-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/18/7/378 |
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| author | Gonçalo Santos Joana Cardoso-Fernandes Ana C. Teodoro |
| author_facet | Gonçalo Santos Joana Cardoso-Fernandes Ana C. Teodoro |
| author_sort | Gonçalo Santos |
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| description | 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. |
| format | Article |
| id | doaj-art-916f2cbc5eb84d529280d0cf312b7eb7 |
| institution | Kabale University |
| issn | 1999-4893 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Algorithms |
| spelling | doaj-art-916f2cbc5eb84d529280d0cf312b7eb72025-08-20T03:32:12ZengMDPI AGAlgorithms1999-48932025-06-0118737810.3390/a18070378AetherGeo: A Spectral Analysis Interface for Geologic MappingGonçalo Santos0Joana Cardoso-Fernandes1Ana C. Teodoro2Department of Geosciences, Environment and Land Planning, Faculty of Sciences, University of Porto, Rua Campo Alegre s/n, 4169-007 Porto, PortugalInstitute of Earth Sciences, Faculty of Sciences, University of Porto, Rua Campo Alegre s/n, 4169-007 Porto, PortugalInstitute of Earth Sciences, Faculty of Sciences, University of Porto, Rua Campo Alegre s/n, 4169-007 Porto, PortugalAetherGeo 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.https://www.mdpi.com/1999-4893/18/7/378hyperspectral imagingtarget identificationimage classificationdimensionality reductionendmember extractionspectral analysis |
| spellingShingle | Gonçalo Santos Joana Cardoso-Fernandes Ana C. Teodoro AetherGeo: A Spectral Analysis Interface for Geologic Mapping Algorithms hyperspectral imaging target identification image classification dimensionality reduction endmember extraction spectral analysis |
| title | AetherGeo: A Spectral Analysis Interface for Geologic Mapping |
| title_full | AetherGeo: A Spectral Analysis Interface for Geologic Mapping |
| title_fullStr | AetherGeo: A Spectral Analysis Interface for Geologic Mapping |
| title_full_unstemmed | AetherGeo: A Spectral Analysis Interface for Geologic Mapping |
| title_short | AetherGeo: A Spectral Analysis Interface for Geologic Mapping |
| title_sort | aethergeo a spectral analysis interface for geologic mapping |
| topic | hyperspectral imaging target identification image classification dimensionality reduction endmember extraction spectral analysis |
| url | https://www.mdpi.com/1999-4893/18/7/378 |
| work_keys_str_mv | AT goncalosantos aethergeoaspectralanalysisinterfaceforgeologicmapping AT joanacardosofernandes aethergeoaspectralanalysisinterfaceforgeologicmapping AT anacteodoro aethergeoaspectralanalysisinterfaceforgeologicmapping |