Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

Deep learning-based methods succeed in remote sensing scene classification (RSSC). However, current methods require training on a large dataset, and if a class does not appear in the training set, it does not work well. Zero-shot classification methods are designed to address the classification for...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Zihao Li, Daobing Zhang, Yang Wang, Daoyu Lin, Jinghua Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2022-04-01
Colección:Applied Sciences
Materias:
remote sensing scene classification
zero-shot learning
generative adversarial network
Acceso en línea:https://www.mdpi.com/2076-3417/12/8/3760
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares