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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Hlavní autoři:	Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Hamad Ahmed Altuwaijri
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Pyramid network spatial-spectral transformer (SST) hyperspectral image classification (HSIC)
On-line přístup:	https://ieeexplore.ieee.org/document/10681622/
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