A supervised image-to-image neural network approximates TEMPER-computed pattern propagation factor fields over range and altitude for S- and X-band, with the best structural similarity at higher altitudes and when predicting linear F rather than FdB.
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A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation
A supervised image-to-image neural network approximates TEMPER-computed pattern propagation factor fields over range and altitude for S- and X-band, with the best structural similarity at higher altitudes and when predicting linear F rather than FdB.