Transformer-Based Model with Dynamic Attention Pyramid Head for Semantic Segmentation of VHR Remote Sensing Imagery

Convolutional neural networks have long dominated semantic segmentation of very-high-resolution (VHR) remote sensing (RS) images. However, restricted by the fixed receptive field of convolution operation, convolution-based models cannot directly obtain contextual information. Meanwhile, Swin Transfo...

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Detalles Bibliográficos
Autores principales: Xu, Yufen, Zhou, Shangbo, Huang, Yuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689728/
https://www.ncbi.nlm.nih.gov/pubmed/36359709
http://dx.doi.org/10.3390/e24111619

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689728/
https://www.ncbi.nlm.nih.gov/pubmed/36359709
http://dx.doi.org/10.3390/e24111619

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