TransHSI: A Hybrid CNN-Transformer Method for Disjoint Sample-Based Hyperspectral Image Classification

TransHSI: A Hybrid CNN-Transformer Method for Disjoint Sample-Based Hyperspectral Image Classification

Hyperspectral images’ (HSIs) classification research has seen significant progress with the use of convolutional neural networks (CNNs) and Transformer blocks. However, these studies primarily incorporated Transformer blocks at the end of their network architectures. Due to significant differences b...

Full description

Bibliographic Details
Main Authors: Ping Zhang, Haiyang Yu, Pengao Li, Ruili Wang
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Remote Sensing
Subjects:
hyperspectral image (HSI) classification
spectral–spatial features
self-attention
convolutional neural network (CNN)
Transformer
Online Access:https://www.mdpi.com/2072-4292/15/22/5331

Internet

https://www.mdpi.com/2072-4292/15/22/5331

Similar Items