Adapting Semi-Supervised Segmentation methods to Multimodal Remote Sensing Data
Remote sensing (RS) imagery is important for applications ranging from land cover and land use (LCLU) mapping to agriculture and forest monitoring. However, there is a limited availability of high-quality labeled data to use as a reference to train supervised learning (SL) models. Semi-supervised le...
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| Principais autores: | , , , |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Copernicus Publications
2025-05-01
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| 叢編: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| 在線閱讀: | https://isprs-archives.copernicus.org/articles/XLVIII-M-7-2025/21/2025/isprs-archives-XLVIII-M-7-2025-21-2025.pdf |
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