A Remote Sensing Image Defogging Method Based on Improved CycleGAN Network-Reference-Cited by-同舟云学术

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A Remote Sensing Image Defogging Method Based on Improved CycleGAN Network

Published:2023-05-12 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Vision, Image and Deep Learning (CVIDL)
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Author:

Zhong Mianqing¹,Wang Xue²,Wang Jun³,Kang Junmei³

Affiliation:

1. Shaanxi Engineering Research Center of Geospatial Information,Aerial Photogrammetry and Remote Sensing Bureau (ARSC),Xi'an,China

2. College of Resources Environment and History Culture, Xianyang Normal University,Xianyang,China

3. Second Monitoring and Application Center,China Earthquake Administration,Xi'an,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164835/10164844/10166126.pdf?arnumber=10166126

Reference13 articles.

1. Dehaze-AGGAN: Unpaired Remote Sensing Image Dehazing Using Enhanced Attention-Guide Generative Adversarial Networks

2. M2SCN: Multi-Model Self-Correcting Network for Satellite Remote Sensing Single-Image Dehazing

3. Remote Sensing Image Defogging Networks Based on Dual Self-Attention Boost Residual Octave Convolution

4. Nonuniform Cloud Removal Algorithm for High Resolution Remote Sensing Satellite Images

5. Recent advancement in haze removal approaches

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