TCCU-Net: Transformer and CNN Collaborative Unmixing Network for Hyperspectral Image

TCCU-Net: Transformer and CNN Collaborative Unmixing Network for Hyperspectral Image

In recent years, deep-learning-based hyperspectral unmixing techniques have garnered increasing attention and made significant advancements. However, relying solely on the use of convolutional neural network (CNN) or transformer approaches is insufficient for effectively capturing both global and fi...

Full description

Bibliographic Details
Main Authors: Jianfeng Chen, Chen Yang, Lan Zhang, Linzi Yang, Lifeng Bian, Zijiang Luo, Jihong Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
CNN
global and local information
hyperspectral image unmixing (HSU)
spectral and spatial information
transformer
Online Access:https://ieeexplore.ieee.org/document/10387571/

Internet

https://ieeexplore.ieee.org/document/10387571/

Similar Items