A Bayesian Deep Image Prior Downscaling Approach for High-Resolution Soil Moisture Estimation
Author:
Affiliation:
1. Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
2. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09780019.pdf?arnumber=9780019
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3. Hyperspectral image synthesis from sparse RGB data: a comparative study combining linear regression, multilayer perceptron, and clustering;Signal, Image and Video Processing;2023-11-26
4. UnTDIP: Unsupervised neural network for DEM super-resolution integrating terrain knowledge and deep prior;International Journal of Applied Earth Observation and Geoinformation;2023-08
5. A New Approach for Downscaling Soil Moisture by Merging Conditional Adversarial Networks and Physics-Based Passive Microwave Retrieval;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
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