Identifying the vegetation type in Google Earth images using a convolutional neural network: a case study for Japanese bamboo forests

BACKGROUND: Classifying and mapping vegetation are crucial tasks in environmental science and natural resource management. However, these tasks are difficult because conventional methods such as field surveys are highly labor-intensive. Identification of target objects from visual data using compute...

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Detalles Bibliográficos
Autores principales: Watanabe, Shuntaro, Sumi, Kazuaki, Ise, Takeshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694338/
https://www.ncbi.nlm.nih.gov/pubmed/33246473
http://dx.doi.org/10.1186/s12898-020-00331-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7694338/
https://www.ncbi.nlm.nih.gov/pubmed/33246473
http://dx.doi.org/10.1186/s12898-020-00331-5

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