An Unsupervised Momentum Contrastive Learning Based Transformer Network for Hyperspectral Target Detection

Hyperspectral target detection plays a pivotal role in various civil and military applications. Although recent advancements in deep learning have largely embraced supervised learning approaches, they often hindered by the limited availability of labeled data. Unsupervised learning, therefore, emerg...

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Detalles Bibliográficos

Principais autores:	Yulei Wang, Xi Chen, Enyu Zhao, Chunhui Zhao, Meiping Song, Chunyan Yu
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2024-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Hyperspectral imagery (HSI) momentum contrastive learning target detection transformer unsupervised learning
Acceso en liña:	https://ieeexplore.ieee.org/document/10497838/
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