A Weak Sample Optimisation Method for Building Classification in a Semi-Supervised Deep Learning Framework

Deep learning has gained widespread interest in the task of building semantic segmentation modelling using remote sensing images; however, neural network models require a large number of training samples to achieve better classification performance, and the models are more sensitive to error patches...

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Detalhes bibliográficos

Principais autores:	Yanjun Wang, Yunhao Lin, Huiqing Huang, Shuhan Wang, Shicheng Wen, Hengfan Cai
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-09-01
coleção:	Remote Sensing
Assuntos:	weak sample semi-supervised classification high-resolution remote sensing imagery buildings deep learning
Acesso em linha:	https://www.mdpi.com/2072-4292/15/18/4432
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