Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection

Semi-Supervised HyperMatch-Driven Cross Temporal and Spatial Interaction Transformer for Hyperspectral Change Detection

Hyperspectral images are valuable for precise land cover change detection in a consistent area over time. Nevertheless, supervised methods for hyperspectral change detection face limitations due to insufficient labeled samples. Additionally, current deep learning-based approaches often neglect criti...

Full description

Bibliographic Details
Main Authors: Yixiang Huang, Lifu Zhang, Wenchao Qi, Ruoxi Song, Changping Huang, Yi Cen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Change detection
deep learning
hyperspectral image
semisupervised learning
transformer
Online Access:https://ieeexplore.ieee.org/document/10449357/

Internet

https://ieeexplore.ieee.org/document/10449357/

Similar Items