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WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES
Fully automatic large-scale land cover mapping belongs to the core challenges addressed by the remote sensing community. Usually, the basis of this task is formed by (supervised) machine learning models. However, in spite of recent growth in the availability of satellite observations, accurate train...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Copernicus Publications
2020-08-01
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| Colecção: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Acesso em linha: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/795/2020/isprs-annals-V-3-2020-795-2020.pdf |
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