Joint Classification Of Hyperspectral And LiDAR Data Based On Heterogeneous Attention Feature Fusion Network
Author:
Affiliation:
1. Harbin University of Science and Technology,School of Measurement-Control and Communication Engineering,Harbin,China
2. Harbin Institute of Technology,School of Electronics and Information Engineering,Harbin,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642370.pdf?arnumber=10642370
Reference10 articles.
1. Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing
2. Challenges and Opportunities in Lidar Remote Sensing
3. Multisource Remote Sensing Data Classification Based on Convolutional Neural Network
4. DSHFNet: Dynamic Scale Hierarchical Fusion Network Based on Multiattention for Hyperspectral Image and LiDAR Data Classification
5. EMFNet: Enhanced Multisource Fusion Network for Land Cover Classification
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