Deep neural network ensembles for remote sensing land cover and land use classification
With the advancement of satellite technology, a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use (LCLU) classification task aiming to categorize remotely sensed images based on their semantic content. Recently, Deep Neural Networks (...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2021-12-01
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| coleção: | International Journal of Digital Earth |
| Assuntos: | |
| Acesso em linha: | http://dx.doi.org/10.1080/17538947.2021.1980125 |
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