CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification

Convolutional neural networks (CNNs) have been prominent in most hyperspectral image (HSI) processing applications due to their advantages in extracting local information. Despite their success, the locality of the convolutional layers within CNNs results in heavyweight models and time-consuming def...

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Detalles Bibliográficos
Autores principales: Zhang, Zhiwen, Li, Teng, Tang, Xuebin, Hu, Xiang, Peng, Yuanxi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146051/
https://www.ncbi.nlm.nih.gov/pubmed/35632310
http://dx.doi.org/10.3390/s22103902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9146051/
https://www.ncbi.nlm.nih.gov/pubmed/35632310
http://dx.doi.org/10.3390/s22103902

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