Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification-Reference-Cited by-同舟云学术

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Semi-Supervised Complex-Valued GAN for Polarimetric SAR Image Classification

Published:2019-07 Issue: Volume: Page:
ISSN:
Container-title:IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Sun Qigong,Li Xiufang,Li Lingling,Liu Xu,Liu Fang,Jiao Licheng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8891871/8897702/08898217.pdf?arnumber=8898217

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complex-Valued Wasserstein GAN for SAR Image Generation;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Polarimetry-Inspired Contrastive Learning for Class-Imbalanced PolSAR Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A Deep Similarity Clustering Network With Compound Regularization for Unsupervised PolSAR Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

4. Exploiting Inherent Properties of Complex Numbers for Accelerating Complex Valued Neural Networks;56th Annual IEEE/ACM International Symposium on Microarchitecture;2023-10-28

5. Classification of Complex-Valued Radar Data using Semi-Supervised Learning: a Case Study;2023 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA);2023-09-06

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