Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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Distance Constraint-Based Generative Adversarial Networks for Hyperspectral Image Classification

Published:2023 Issue: Volume:61 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:

Qin Anyong¹^ORCID,Tan Zhuolin¹^ORCID,Wang Ran²,Sun Yongqing³^ORCID,Yang Feng¹^ORCID,Zhao Yue¹^ORCID,Gao Chenqiang¹^ORCID

Affiliation:

1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

2. School of International, Chongqing University of Posts and Telecommunications, Chongqing, China

3. Computer and Data Science Laboratories, Nippon Telegraph and Telephone Corporation, Kanagawa, Japan

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing, China

Science and Technology Research Program of Chongqing Municipal Education Commission

China Postdoctoral Science Foundation

Special Funding for Chongqing Postdoctoral Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10122686.pdf?arnumber=10122686

Reference53 articles.

1. Generative Adversarial Networks and Conditional Random Fields for Hyperspectral Image Classification

2. Generative Adversarial Networks for Hyperspectral Image Classification

3. Generative Adversarial Minority Oversampling for Spectral–Spatial Hyperspectral Image Classification

4. Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

5. Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

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1. Generative Adversarial Network-Based Spectral–Spatial Feature Learning for Hyperspectral Image Classification;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Multi-Level Feature Extraction Networks for Hyperspectral Image Classification;Remote Sensing;2024-02-04

3. A Point-Set Topology-Based Information Entropy Estimation Method for Hyperspectral Target Detection;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Spectral–Spatial Classification With Naive Bayes and Adaptive FFT for Improved Classification Accuracy of Hyperspectral Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. Iterative Sample Generation and Balance Approach for Improving Hyperspectral Remote Sensing Imagery Classification With Deep Learning Network;IEEE Transactions on Geoscience and Remote Sensing;2024

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