A novel approach: Coupling prior knowledge and deep learning methods for large-scale plastic greenhouse extraction using Sentinel-1/2 data
Plastic greenhouses (PGs) are integral to modern agricultural practices, enhancing crop yields but also raising environmental concerns. Consequently, comprehending their widespread distribution is essential. Although deep learning has been extensively used for land use/cover classification and extra...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Elsevier
2024-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S1569843224004278 |
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