sum1lim/sea_ice_remote_sensing
Deep Learning models for Sea Ice Concentration classification generated from the architectures of Neural Network, 1D-CNN and concatenation of the two.
This project helps oceanographers and climate scientists classify different types of sea ice from satellite imagery. It takes raw optical satellite images and corresponding mask files as input, processes them using various deep learning models, and outputs predictions about the concentration and type of sea ice. The primary users are researchers or analysts studying polar regions and needing automated sea ice classification.
No commits in the last 6 months.
Use this if you need to classify sea ice concentration from Arctic satellite images and are looking for a deep learning approach.
Not ideal if you need a pre-trained model for immediate use without any setup, or if your primary data source is not optical satellite imagery.
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Language
Python
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Last pushed
Oct 14, 2021
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