Remote sensing image description based on word embedding and end-to-end deep learning

This study proposes an end-to-end image description generation model based on word embedding technology to realise the classification and identification of Populus euphratica and Tamarix in complex remote sensing images by providing descriptions in precise and concise natural sentences. First, categ...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yuan, Ma, Hongbing, Alifu, Kuerban, Lv, Yalong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862669/
https://www.ncbi.nlm.nih.gov/pubmed/33542421
http://dx.doi.org/10.1038/s41598-021-82704-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7862669/
https://www.ncbi.nlm.nih.gov/pubmed/33542421
http://dx.doi.org/10.1038/s41598-021-82704-4

Ejemplares similares