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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Autores principales:	Enzhao Zhu, Alim Samat, Erzhu Li, Ren Xu, Wei Li, Wenbo Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-03-01
Colección:	Remote Sensing
Materias:	invasive plants <i>Pedicularis kansuensis</i> positive-unlabeled learning adversarial learning deep learning Jilin 1
Acceso en línea:	https://www.mdpi.com/2072-4292/17/6/1041
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