Spectral–Spatial–Language Fusion Network for Hyperspectral, LiDAR, and Text Data Classification
Author:
Affiliation:
1. Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China
Funder
National Natural Science Foundation of China
Fundamental Research Promotion Plan of Qilu University of Technology
Natural Science Foundation of Shandong Province, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10373894.pdf?arnumber=10373894
Reference58 articles.
1. Information Fusion for Classification of Hyperspectral and LiDAR Data Using IP-CNN
2. Single-Source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification
3. Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing
4. Graph Convolutional Networks for Hyperspectral Image Classification
5. Using HSI Color Space to Improve the Multispectral Lidar Classification Error Caused by Measurement Geometry
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