Semi-Supervised Remote Sensing Image Semantic Segmentation Based on Multi-Scale Consistency and Cross-Attention

Remote sensing image (RSI) semantic segmentation is challenged by high inter-class spectral similarity, significant intra-class scale variation, and limited availability of labeled data. Although semi-supervised learning has reduced the dependency on large-scale annotations, existing approaches stil...

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Detalles Bibliográficos

Autores principales:	Yuan Cao, Lin Chang, Jiahao Sun, Xinyu Li, Jing Liu, Xin Li, Daofang Liu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2026-04-01
Colección:	Remote Sensing
Materias:	remote sensing image semantic segmentation semi-supervised multi-scale cross-attention
Acceso en línea:	https://www.mdpi.com/2072-4292/18/8/1256
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