Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation

As the acquisition of very high resolution (VHR) images becomes easier, the complex characteristics of VHR images pose new challenges to traditional machine learning semantic segmentation methods. As an excellent convolutional neural network (CNN) structure, U-Net does not require manual interventio...

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Detalles Bibliográficos
Autores principales: Ran, Si, Ding, Jianli, Liu, Bohua, Ge, Xiangyu, Ma, Guolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961556/
https://www.ncbi.nlm.nih.gov/pubmed/33807525
http://dx.doi.org/10.3390/s21051794

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961556/
https://www.ncbi.nlm.nih.gov/pubmed/33807525
http://dx.doi.org/10.3390/s21051794

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