Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification

Pyramid Hierarchical Spatial-Spectral Transformer for Hyperspectral Image Classification

The transformer model encounters challenges with variable-length input sequences, leading to efficiency and scalability concerns. To overcome this, we propose a pyramid-based hierarchical spatial-spectral transformer (PyFormer). This innovative approach organizes input data hierarchically into pyram...

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Bibliographic Details
Main Authors: Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Hamad Ahmed Altuwaijri
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Pyramid network
spatial-spectral transformer (SST)
hyperspectral image classification (HSIC)
Online Access:https://ieeexplore.ieee.org/document/10681622/

Internet

https://ieeexplore.ieee.org/document/10681622/

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