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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2020
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| 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 |