HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images

HRRNet: Hierarchical Refinement Residual Network for Semantic Segmentation of Remote Sensing Images

Semantic segmentation of high-resolution remote sensing images plays an important role in many practical applications, including precision agriculture and natural disaster assessment. With the emergence of a large number of studies on convolutional neural networks, the performance of the semantic se...

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Detalhes bibliográficos
Main Authors: Shiwei Cheng, Baozhu Li, Le Sun, Yuwen Chen
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2023-02-01
Colecção:Remote Sensing
Assuntos:
deep convolution convolutional neural network
attention mechanism
semantic segmentation
remote sensing images
residual structure
Acesso em linha:https://www.mdpi.com/2072-4292/15/5/1244

Internet

https://www.mdpi.com/2072-4292/15/5/1244

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