A Super Resolution Method for Remote Sensing Images Based on Cascaded Conditional Wasserstein GANs-Reference-Cited by-同舟云学术

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A Super Resolution Method for Remote Sensing Images Based on Cascaded Conditional Wasserstein GANs

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP)
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Author:

Liu Bo,Li Heng,Zhou Yutao,Peng Yuqing,Elazab Ahmed,Wang Changmiao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9226368/9231964/09232066.pdf?arnumber=9232066

Cited by 5 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. Generative Adversarial Networks in Business and Social Science;Applied Sciences;2024-08-23

2. Detail-Optimized Super-Resolution Reconstruction-Based Multistage Training Strategy for Remote Sensing Semantic Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2024

3. DMSC-GAN: A c-GAN-Based Framework for Super-Resolution Reconstruction of SAR Images;Remote Sensing;2023-12-21

4. Enhancing PROBA-V Satellite Imagery for Vegetation Monitoring Using FSRCNN-Based Super-Resolution;2023 International Conference on Next Generation Electronics (NEleX);2023-12-14

5. A comprehensive review on deep learning based remote sensing image super-resolution methods;Earth-Science Reviews;2022-09

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