Cross-Domain Attention Network for Hyperspectral Image Classification-Reference-Cited by-同舟云学术

Cross-Domain Attention Network for Hyperspectral Image Classification

Published:2022-07-17 Issue: Volume: Page:
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Container-title:IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Wang Chenglong¹,Ye Minchao¹,Lei Ling¹,Xiong Fengchao²,Qian Yuntao³

Affiliation:

1. China Jiliang University,Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering,China

2. School of Computer Science and Engineering, Nanjing University of Science and Technology,China

3. College of Computer Science, Zhejiang University,China

Funder

Zhejiang Provincial Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884454.pdf?arnumber=9884454

Reference9 articles.

1. Cross-Scene Deep Transfer Learning With Spectral Feature Adaptation for Hyperspectral Image Classification

2. Feature Adaptation and Augmentation for Cross-Scene Hyperspectral Image Classification

3. Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF

4. Cross-Scene Hyperspectral Image Classification Based on Deep Conditional Distribution Adaptation Networks

5. Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images

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1. A GAN based method for cross-scene classification of hyperspectral scenes captured by different sensors;Multimedia Tools and Applications;2024-09-09

2. Focal Transfer Graph Network and Its Application in Cross-Scene Hyperspectral Image Classification;IEEE Transactions on Artificial Intelligence;2024-08

3. Dual Fusion Network for Hyperspectral Semantic Segmentation;Lecture Notes in Computer Science;2023