Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data-Reference-Cited by-同舟云学术

Multiple Information Collaborative Fusion Network for Joint Classification of Hyperspectral and LiDAR Data

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Tang Xu¹^ORCID,Zou Yizhou¹,Ma Jingjing¹,Zhang Xiangrong¹^ORCID,Liu Fang²^ORCID,Jiao Licheng¹^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of the Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China

2. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of the Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Shaanxi Province

Natural Science Basic Research Program of Shaanxi

Shaanxi Province Innovation Capability Support Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10602541.pdf?arnumber=10602541

Reference63 articles.

1. Large Kernel Spectral and Spatial Attention Networks for Hyperspectral Image Classification

2. Noisy remote sensing scene classification via progressive learning based on multiscale information exploration;Tang;Remote Sens.,2023

3. SpectralDiff: A Generative Framework for Hyperspectral Image Classification With Diffusion Models

4. SpectralGPT: Spectral Remote Sensing Foundation Model

5. Multimodal artificial intelligence foundation models: Unleashing the power of remote sensing big data in earth observation;Hong;Innovation,2024