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

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Kang Ni, Duo Wang, Zhizhong Zheng, Peng Wang
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
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/