A Machine Learning and Cross-Validation Approach for the Discrimination of Vegetation Physiognomic Types Using Satellite Based Multispectral and Multitemporal Data

This paper presents the performance and evaluation of a number of machine learning classifiers for the discrimination between the vegetation physiognomic classes using the satellite based time-series of the surface reflectance data. Discrimination of six vegetation physiognomic classes, Evergreen Co...

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Detalles Bibliográficos
Autores principales: Sharma, Ram C., Hara, Keitarou, Hirayama, Hidetake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485338/
https://www.ncbi.nlm.nih.gov/pubmed/28695041
http://dx.doi.org/10.1155/2017/9806479

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5485338/
https://www.ncbi.nlm.nih.gov/pubmed/28695041
http://dx.doi.org/10.1155/2017/9806479

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