Deep Learning Based Image Fusion Applied on Landsat-8 Archival Data Using UVCGAN
Author:
Affiliation:
1. Amrita School of Computing,Department of Computer Science and Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10433943/10433945/10434448.pdf?arnumber=10434448
Reference22 articles.
1. Fusing Landsat 8 and Sentinel-2 data for 10-m dense time-series imagery using a degradation-term constrained deep network
2. Spatial resolution enhancement method for Landsat imagery using a Generative Adversarial Network
3. Deep Learning for Feature-Level Data Fusion: Higher Resolution Reconstruction of Historical Landsat Archive
4. UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation
5. Spectral and spatial assessment of the Ikonos images fusion, using the Principal Components, Brovey Transform and Multiplicative
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