Joint Adversarial Network With Semantic and Topology Fusion for Cross-Scene Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Joint Adversarial Network With Semantic and Topology Fusion for Cross-Scene Hyperspectral Image Classification

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:

Shang Ronghua¹^ORCID,Xie Yuhao²^ORCID,Zhang Weitong¹^ORCID,Feng Jie¹^ORCID,Xu Songhua³

Affiliation:

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

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Guangzhou Institute of Technology, Xidian University, Guangzhou, Guangdong, China

3. Department of Health Management and Institute of Medical Artificial Intelligence, The Second Affiliated Hospital, Xi’an Jiaotong University, Xi’an, China

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Natural Science Basic Research Program of Shaanxi

Basic and Applied Basic Research Foundation of Guangdong Province

Postdoctoral Research Project Funding of Shaanxi

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10559841.pdf?arnumber=10559841

Reference49 articles.

1. Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention

2. Local–Global Feature-Aware Transformer Based Residual Network for Hyperspectral Image Denoising

3. Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning

4. Class-Aligned and Class-Balancing Generative Domain Adaptation for Hyperspectral Image Classification

5. Multi-task multi-objective evolutionary network for hyperspectral image classification and pansharpening

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