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

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...

Full description

Bibliographic Details
Main Authors: Zhiwen Zhang, Teng Li, Xuebin Tang, Xiang Hu, Yuanxi Peng
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Sensors
Subjects:
convolutional neural network
autoencoder
vision transformer
hyperspectral image classification
Online Access:https://www.mdpi.com/1424-8220/22/10/3902

Internet

https://www.mdpi.com/1424-8220/22/10/3902

Similar Items