Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
AetherGeo: A Spectral Analysis Interface for Geologic Mapping. |
| Συγγραφείς: |
Santos, Gonçalo, Cardoso-Fernandes, Joana, Teodoro, Ana C. |
| Πηγή: |
Algorithms; Jul2025, Vol. 18 Issue 7, p378, 18p |
| Θεματικοί όροι: |
Spectrum analysis, Geological mapping, Open source software, Scholarly method, Computer software, Hyperspectral imaging systems, Data visualization, Remote-sensing images |
| Περίληψη: |
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. [ABSTRACT FROM AUTHOR] |
|
Copyright of Algorithms is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Βάση Δεδομένων: |
Complementary Index |