Decision-Tree, Rule-Based, and Random Forest Classification of High-Resolution Multispectral Imagery for Wetland Mapping and Inventory

Efforts are increasingly being made to classify the world’s wetland resources, an important ecosystem and habitat that is diminishing in abundance. There are multiple remote sensing classification methods, including a suite of nonparametric classifiers such as decision-tree (DT), rule-based (RB), an...

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Detalles Bibliográficos
Autores principales: Berhane, Tedros M., Lane, Charles R., Wu, Qiusheng, Autrey, Bradley C., Anenkhonov, Oleg A., Chepinoga, Victor V., Liu, Hongxing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104403/
https://www.ncbi.nlm.nih.gov/pubmed/30147945
http://dx.doi.org/10.3390/rs10040580

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6104403/
https://www.ncbi.nlm.nih.gov/pubmed/30147945
http://dx.doi.org/10.3390/rs10040580

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