HCAFNet: Hierarchical Cross-Modal Attention Fusion Network for HSI and LiDAR Joint Classification

HCAFNet: Hierarchical Cross-Modal Attention Fusion Network for HSI and LiDAR Joint Classification

Hyperspectral image (HSI) and light detection and ranging (LiDAR) data can provide complementary features and have shown great potential for land cover classification. Recently, the joint classification using the HSI and LiDAR data based on deep learning networks (e.g., convolutional neural networks...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiajia Bai, Na Chen, Jiangtao Peng, Lanxin Wu, Weiwei Sun, Zhijing Ye
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
convolutional neural network (CNN)
hyperspectral image (HSI)
joint classification
light detection and ranging (LiDAR) data
Online Access:https://ieeexplore.ieee.org/document/10945607/
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://ieeexplore.ieee.org/document/10945607/

Similar Items