An open source library and framework for deep learning on satellite and aerial imagery.
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Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
Earth observation processing framework for machine learning in Python
- machine-learning
- eo-data
- eo-research
- python-package
framework for large-scale SAR satellite data processing
- radar
- sar
- gdal
- spatialite
Open source remote sensing dataset with benchmarks
Automated mapping of pedestrian networks from aerial imagery tiles