Fusion neural networks for plant classification: learning to combine RGB, hyperspectral, and lidar data

Airborne remote sensing offers unprecedented opportunities to efficiently monitor vegetation, but methods to delineate and classify individual plant species using the collected data are still actively being developed and improved. The Integrating Data science with Trees and Remote Sensing (IDTReeS)...

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Detalles Bibliográficos
Autores principales: Scholl, Victoria M., McGlinchy, Joseph, Price-Broncucia, Teo, Balch, Jennifer K., Joseph, Maxwell B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Ecology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325917/
https://www.ncbi.nlm.nih.gov/pubmed/34395073
http://dx.doi.org/10.7717/peerj.11790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8325917/
https://www.ncbi.nlm.nih.gov/pubmed/34395073
http://dx.doi.org/10.7717/peerj.11790

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