HAL (France)
open access
Deep learning Unsupervised Semantic Segmentation of GMI Satellite Brightness Temperature Images: Validation on Precipitation and SST at Global and Regional Scales
Microwave brightness temperatures (TB) measured using satellites have played a significant role in observing various water cycle components. Until now, the measurement of TB has been used to retrieve many geophysical variables with Bayesian or, more recently, supervised Deep Learning approaches. The
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