DMHA-Transformer With Joint Convolution and Global Attention Enhancement for Hyperspectral Image and LiDAR Classification

Hyperspectral image (HSI) categorization plays a pivotal role in various Earth observation applications. Single-modal HSI is constrained by insufficient spatial resolution, spectral redundancy, and noise contamination, making it inadequate for high-accuracy land-cover classification and complex scen...

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Detalhes bibliográficos

Principais autores:	Chunyan Chen, Guosheng Han, Chengjun Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2026-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Global attention mechanism (GAM) hyperspectral light detection and ranging (LiDAR) multimodal vision transformer (ViT)
Acesso em linha:	https://ieeexplore.ieee.org/document/11419728/
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