Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification

The lack of labeled training samples restricts the improvement of Hyperspectral Remote Sensing Image (HRSI) classification accuracy based on deep learning methods. In order to improve the HRSI classification accuracy when there are few training samples, a Lightweight 3D Dense Autoencoder Network (L3...

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Detalles Bibliográficos
Autores principales: Bai, Yang, Sun, Xiyan, Ji, Yuanfa, Fu, Wentao, Duan, Xiaoyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610785/
https://www.ncbi.nlm.nih.gov/pubmed/37896728
http://dx.doi.org/10.3390/s23208635

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610785/
https://www.ncbi.nlm.nih.gov/pubmed/37896728
http://dx.doi.org/10.3390/s23208635

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