Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China
Large-scale land-cover classification using a supervised algorithm is a challenging task. Enormous efforts have been made to manually process and check the production of national land-cover maps. This has led to complex pre- and post-processing and even the production of inaccurate mapping products...
Enregistré dans:
| Auteurs principaux: | , , , , |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/c09579ddb984493782dd2cff7140ba9d |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
