Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images

Deep convolutional neural networks (DCNNs) have been successfully used in semantic segmentation of high-resolution remote sensing images (HRSIs). However, this task still suffers from intra-class inconsistency and boundary blur due to high intra-class heterogeneity and inter-class homogeneity, consi...

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Detalhes bibliográficos

Principais autores:	Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2024-12-01
coleção:	GIScience & Remote Sensing
Assuntos:	Semantic segmentation boundary blur intra-class inconsistency HRSIs CNN
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/15481603.2024.2356355
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