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GitHub / Aaditatgithub / Multi-Stream-Convolution-and-Attention-U-Net-Fusion-for-UHII

Predicting urban heat island for the city of Pune using MODIS LST, PM2.5 and GLC_FCS30D Landcover dataset. The neural network consists of three covolution streams and attention unet for feature fusion and UHI map creation.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aaditatgithub%2FMulti-Stream-Convolution-and-Attention-U-Net-Fusion-for-UHII
PURL: pkg:github/Aaditatgithub/Multi-Stream-Convolution-and-Attention-U-Net-Fusion-for-UHII

Stars: 2
Forks: 1
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 50.6 MB
Dependencies parsed at: Pending

Created at: 2 months ago
Updated at: about 2 months ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago

Topics: attention-mechanism, attention-unet, cbam, google-earth-engine, land-surface-temperature, landcover-change, modis-dataset, python, urban-heat-island

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