A Joint Convolutional Cross ViT Network for Hyperspectral and Light Detection and Ranging Fusion Classification

A Joint Convolutional Cross ViT Network for Hyperspectral and Light Detection and Ranging Fusion Classification

The fusion of hyperspectral imagery (HSI) and light detection and ranging (LiDAR) data for classification has received widespread attention and has led to significant progress in research and remote sensing applications. However, existing common CNN architectures suffer from the significant drawback...

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Bibliographic Details
Main Authors: Haitao Xu, Tie Zheng, Yuzhe Liu, Zhiyuan Zhang, Changbin Xue, Jiaojiao Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
hyperspectral
LiDAR
fusion classification
transformer
feature fusion
Online Access:https://www.mdpi.com/2072-4292/16/3/489

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