VSainteuf/utae-paps
PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.
This project helps classify different land cover types and individual agricultural fields from satellite imagery collected over time. You input a sequence of satellite images for a specific area, and it outputs detailed maps highlighting crop parcels and their precise boundaries, as well as the general land cover. This tool is for agricultural analysts, environmental monitoring agencies, or urban planners who need to track changes in land use over seasons or years.
197 stars. No commits in the last 6 months.
Use this if you need to accurately identify and segment individual agricultural fields and land cover types from time-series satellite images.
Not ideal if you are working with single-date satellite images or require real-time processing for rapidly changing environments.
Stars
197
Forks
64
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 20, 2024
Commits (30d)
0
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