Analyzing the Impact of Geospatial Derivatives on Domain Adaptation with CycleGAN-Reference-Cited by-同舟云学术

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Analyzing the Impact of Geospatial Derivatives on Domain Adaptation with CycleGAN

Published:2024-05-30 Issue: Volume:5 Page:710-715
ISSN:
Container-title:2024 IEEE International Conference on Electro Information Technology (eIT)
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Author:

Rozario Papia F.¹,Lee Junsu²,Chen Yangguang²,Mohan Pavithra Devy²,DeWitte Matthew¹,Gomes Rahul³

Affiliation:

1. University of Wisconsin-Eau Claire,Dept. of Geography and Anthropology,Eau Claire,WI,USA

2. University of Wisconsin-Eau Claire,Dept. of Computer Science,Eau Claire,WI,USA

3. University of Wisconsin-Eau Claire,Department of Computer Science,Eau Claire,United States

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609838/10609857/10609908.pdf?arnumber=10609908

Reference31 articles.

1. Image-to-Image Translation with Conditional Adversarial Networks

2. GAN-Based Satellite Imaging: A Survey on Techniques and Applications

3. Soil Moisture Estimation using Sentinel-1/-2 Imagery Coupled with cycleGAN for Time-series Gap Filing

4. MasterplanGAN: Facilitating the smart rendering of urban master plans via generative adversarial networks

5. Semi-Supervised Land Cover Classification of Remote Sensing Imagery Using CycleGAN and EfficientNet

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