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

Abstract 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. Fir...

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Auteurs principaux: Yuan Wang, Hongbing Ma, Kuerban Alifu, Yalong Lv
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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R
Q
Accès en ligne:https://doaj.org/article/a4f7d8083d4d486fa8fce75c5f6fc3bf
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