Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model

With the development of deep learning, the use of convolutional neural networks (CNN) to improve the land cover classification accuracy of hyperspectral remote sensing images (HSRSI) has become a research hotspot. In HSRSI semantics segmentation, the traditional dataset partition method may cause in...

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Detalles Bibliográficos
Autores principales: Li, Jiaju, Wang, Hefeng, Zhang, Anbing, Liu, Yuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785877/
https://www.ncbi.nlm.nih.gov/pubmed/36560046
http://dx.doi.org/10.3390/s22249678

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785877/
https://www.ncbi.nlm.nih.gov/pubmed/36560046
http://dx.doi.org/10.3390/s22249678

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