Adversarial Positive-Unlabeled Learning-Based Invasive Plant Detection in Alpine Wetland Using Jilin-1 and Sentinel-2 Imageries
Invasive plants (IPs) pose a significant threat to local ecosystems. Recent advances in remote sensing (RS) and deep learning (DL) significantly improved the accuracy of IP detection. However, mainstream DL methods often require large, high-quality labeled data, leading to resource inefficiencies. I...
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| Glavni autori: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2025-03-01
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| Serija: | Remote Sensing |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2072-4292/17/6/1041 |
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