MHST: Multiscale Head Selection Transformer for Hyperspectral and LiDAR Classification

MHST: Multiscale Head Selection Transformer for Hyperspectral and LiDAR Classification

The joint use of hyperspectral image (HSI) and light detection and ranging (LiDAR) data has gained significant performance on land-cover classification. Although spatial–spectral feature learning methods based on convolutional neural networks and transformer networks have achieved promine...

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Bibliographic Details
Main Authors: Kang Ni, Duo Wang, Zhizhong Zheng, Peng Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Classification
feature learning
global class token
hyperspectral image (HSI)
light detection and ranging (LiDAR) data
transformer
Online Access:https://ieeexplore.ieee.org/document/10438852/

Internet

https://ieeexplore.ieee.org/document/10438852/

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