An Advanced Data Fusion Method to Improve Wetland Classification Using Multi-Source Remotely Sensed Data

The goal of this research was to improve wetland classification by fully exploiting multi-source remotely sensed data. Three distinct classifiers were designed to distinguish individual or compound wetland categories using random forest (RF) classification. They were determined, in part, to best use...

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Detalles Bibliográficos
Autores principales: Judah, Aaron, Hu, Baoxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697073/
https://www.ncbi.nlm.nih.gov/pubmed/36433540
http://dx.doi.org/10.3390/s22228942

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9697073/
https://www.ncbi.nlm.nih.gov/pubmed/36433540
http://dx.doi.org/10.3390/s22228942

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