Rajabi, Roozbeh; Zehtabian, Amin; Singh, Keshav D.; Tabatabaeenejad, Alireza; Ghamisi, Pedram et Homayouni, Saeid 
ORCID: https://orcid.org/0000-0002-0214-5356
(2023).
Editorial: Hyperspectral imaging in environmental monitoring and analysis.
Frontiers in Environmental Science
, vol. 11
.
p. 1353447.
DOI: 10.3389/fenvs.2023.1353447.
Résumé
Hyperspectral remote sensing stands as a vital tool in the realm of environmental monitoring and analysis, offering a comprehensive perspective by capturing subtle information in an extensive range of wavelengths. This capacity enables the creation of distinctive spectral signatures for every material within a given scene. The unique advantage lies in its ability to enhance the efficiency of environmental monitoring tasks, such as precise vegetation classification, target detection and landcover segmentation. By harnessing the richness of spectral information, hyperspectral imagery empowers researchers and decision-makers to delve deeper into the details of ecosystems, enabling more accurate and insightful analyses crucial for sustainable resource management and informed decision-making in the face of evolving environmental challenges.
| Type de document: | Article |
|---|---|
| Mots-clés libres: | hyperspectral imaging; environmental monitoring; image processing; machine learning; remote sensing |
| Centre: | Centre Eau Terre Environnement |
| Date de dépôt: | 09 juill. 2024 19:16 |
| Dernière modification: | 09 juill. 2024 19:16 |
| URI: | https://espace.inrs.ca/id/eprint/15473 |
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