Integrating Prototype Learning With Graph Convolution Network for Effective Active Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Integrating Prototype Learning With Graph Convolution Network for Effective Active 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:

Ding Chen¹^ORCID,Zheng Mengmeng¹^ORCID,Zheng Sirui¹^ORCID,Xu Yaoyang¹^ORCID,Zhang Lei²^ORCID,Wei Wei²^ORCID,Zhang Yanning²^ORCID

Affiliation:

1. School of Computer Science and Technology, Xi’an University of Posts and Telecommunications, Xi’an, China

2. Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, and the National Engineering Laboratory for Integrated Aerospace-Ground-Ocean Big Data Application Technology, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10387500.pdf?arnumber=10387500

Reference59 articles.

1. FSL-EGNN: Edge-Labeling Graph Neural Network for Hyperspectral Image Few-Shot Classification

2. Hyperspectral image data analysis

3. Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning

4. Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification

5. Global Spatial and Local Spectral Similarity Based Sample Augment and Extended Subspace Projection for Hyperspectral Image Classification

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1. GLGAT-CFSL: Global-Local Graph Attention Network-Based Cross-Domain Few-Shot Learning for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Hyperspectral Image Classification Based on Atrous Convolution Channel Attention-Aided Dense Convolutional Neural Network;IEEE Geoscience and Remote Sensing Letters;2024

3. Classwise Prototype-Guided Alignment Network for Cross-Scene Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024