CSTC: Visual Transformer Network with Multimodal Dual Fusion for Hyperspectral and LiDAR Image Classification

Convolutional neural networks have made significant progress in multimodal remote sensing image classification, but traditional convolutional neural networks are limited by fixed-size convolutional kernels, which are unable to effectively model and adequately extract contextual information; hyperspe...

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Hlavní autoři:	Yong Mei, Jinlong Fan, Xiangsuo Fan, Qi Li
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-09-01
Edice:	Remote Sensing
Témata:	transformer network multimodal hyperspectral images LiDAR images cross-modal dual fusion image classification
On-line přístup:	https://www.mdpi.com/2072-4292/17/18/3158
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