SSViT-HCD: A Spatial–Spectral Convolutional Vision Transformer for Hyperspectral Change Detection

SSViT-HCD: A Spatial–Spectral Convolutional Vision Transformer for Hyperspectral Change Detection

In recent decades, the wide use of deep-learning-based methods has consistently improved the performance of remote sensing images and is widely used for hyperspectral change detection (HCD) tasks. However, most of the existing HCD method is based on the convolutional neural network (CNN), which show...

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Bibliographic Details
Main Authors: Ayesha Shafique, Seyd Teymoor Seydi, Tayeb Alipour-Fard, Guo Cao, Di Yang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning (DL)
change detection (CD)
hyperspectral image (HSI)
vision transformer (ViT)
Online Access:https://ieeexplore.ieee.org/document/10057972/

Internet

https://ieeexplore.ieee.org/document/10057972/

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