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Published August 18, 2022 | Version v.103
Software Open

Detection and Segmentation of Clouds Flowing in Different Wind Velocity Fields

Authors/Creators

  • 1. University of New Mexico

Description

This repository includes the implementation of different mixture models for detecting clouds in different wind velocity fields.

See preprint article: https://arxiv.org/pdf/2105.03535.pdf

See journal article: https://www.sciencedirect.com/science/article/pii/S0306261921001860

See IEEE PES ISGT conference article: https://ieeexplore.ieee.org/abstract/document/9640045

See realated data: https://doi.org/10.5061/dryad.zcrjdfn9m

Additional funding was provided by the King Felipe VI Endowed Chair of the University of New Mexico.

Files

gterren/multiple_cloud_dection_and_segmentation-v.103.zip

Files (29.1 kB)

Additional details

Is supplement to
https://github.com/gterren/multiple_cloud_dection_and_segmentation (URL)
https://github.com/gterren/multiple_velocity_fields_visualization (URL)
https://arxiv.org/pdf/2105.03535.pdf (URL)
10.5061/dryad.zcrjdfn9m (DOI)
10.1016/j.apenergy.2021.116656 (DOI)
10.1109/ISGTEurope52324.2021.9640045 (DOI)

Funding

U.S. National Science Foundation
RII Track-1: The New Mexico SMART Grid Center: Sustainable, Modular, Adaptive, Resilient, and Transactive 1757207