Unsupervised Domain Adaptation to Mitigate Out-of-Distribution Problem of Spatial Radiometer Images: Application to Quantitative Precipitation Estimation
Author:
Affiliation:
1. Laboratoire Atmosphères, Milieux et Observations Spatiales (LATMOS), Université de Versailles-Saint Quentin-en-Yvelines Paris-Saclay, Guyancourt, France
2. LATMOS, Guyancourt, France
Funder
Program National de Télédétection Spatiale and CNES-TOSCA
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10535296.pdf?arnumber=10535296
Reference31 articles.
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3. Evaluation Of Drain, A Deep-Learning Approach To Rain Retrieval From Gpm Passive Microwave Radiometer.
4. The evolution of the Goddard profiling algorithm to a fully parametric scheme;Kummerow;J. Atmos. Ocean. Technol.,2015
5. GPROF-NN: A neural-network-based implementation of the Goddard profiling algorithm;Pfreundschuh;Atmos. Meas. Techn.,2022
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