Cross Attention-Based Multi-Scale Convolutional Fusion Network for Hyperspectral and LiDAR Joint Classification

In recent years, deep learning-based multi-source data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, has gained significant attention in the field of remote sensing. However, the traditional convolutional neural network fusion techniques always provide...

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Bibliografische gegevens

Hoofdauteurs:	Haimiao Ge, Liguo Wang, Haizhu Pan, Yanzhong Liu, Cheng Li, Dan Lv, Huiyu Ma
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-10-01
Reeks:	Remote Sensing
Onderwerpen:	HSI and LiDAR fusion classification convolutional neural network multi-scale feature extraction cross attention
Online toegang:	https://www.mdpi.com/2072-4292/16/21/4073
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