MBT-UNet: Multi-Branch Transform Combined with UNet for Semantic Segmentation of Remote Sensing Images

Remote sensing (RS) images play an indispensable role in many key fields such as environmental monitoring, precision agriculture, and urban resource management. Traditional deep convolutional neural networks have the problem of limited receptive fields. To address this problem, this paper introduces...

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Autors principals:	Bin Liu, Bing Li, Victor Sreeram, Shuofeng Li
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-07-01
Col·lecció:	Remote Sensing
Matèries:	transformer semantic segmentation convolutional neural network remote sensing
Accés en línia:	https://www.mdpi.com/2072-4292/16/15/2776
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