Detection of clouds in multiple wind velocity fields using ground-based infrared sky images (2021-05-07T00:00:00.000000Z)

TL;DR

This investigation studies the performance of unsupervised learning techniques when detecting the number of cloud layers in infrared sky images using an innovative infrared sky imager mounted on a solar tracker and finds that the sequential hidden Markov model outperformed the detection accuracy of the Bayesian metrics.

Authors

Guillermo Terr'en-Serrano

2 papers

Manel Mart'inez-Ram'on

2 papers

TL;DR

Authors

References110 items

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