Satellite Imagery
Showing 8 of 8 projects
A comprehensive resource of deep learning techniques and models for analyzing satellite and aerial imagery.
A curated list of open-source geospatial analysis tools, libraries, and resources across multiple programming languages and domains.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A curated list of satellite and aerial imagery datasets with annotations for computer vision and deep learning tasks.
A dataset of 129.6 million computer-generated building footprint polygons for the United States, derived from satellite imagery.
An open source Python library and framework for building computer vision models on satellite, aerial, and large imagery sets.
A curated list of datasets, tools, methods, review papers, and competitions for remote sensing change detection.
An end-to-end Python pipeline for semantic segmentation of aerial and satellite imagery to extract features like buildings and roads.
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