Multi-Temporal Hyperspectral Classification of Grassland Using Transformer Network

In recent years, grassland monitoring has shifted from traditional field surveys to remote-sensing-based methods, but the desired level of accuracy has not yet been obtained. Multi-temporal hyperspectral data contain valuable information about species and growth season differences, making it a promi...

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Detalles Bibliográficos
Autores principales: Zhao, Xuanhe, Zhang, Shengwei, Shi, Ruifeng, Yan, Weihong, Pan, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385388/
https://www.ncbi.nlm.nih.gov/pubmed/37514934
http://dx.doi.org/10.3390/s23146642

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385388/
https://www.ncbi.nlm.nih.gov/pubmed/37514934
http://dx.doi.org/10.3390/s23146642

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