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Automated detection and geocoding of artillery craters in satellite imagery using computer vision to estimate projectile trajectories.
Defensibility
stars
18
forks
6
ARCADE is a legacy project (over 10 years old) that serves more as a historical reference for OSINT (Open Source Intelligence) techniques than a modern tool. With only 18 stars and zero recent activity, it lacks any community momentum or production-grade utility in the current AI landscape. The use of MATLAB significantly limits its defensibility and modern applicability, as contemporary satellite imagery analysis has moved almost entirely to Python-based deep learning frameworks (PyTorch, TensorFlow) and transformer-based architectures (e.g., Segment Anything Model for Earth Observation). While the niche (artillery crater analysis) is highly specific and unlikely to be targeted by frontier labs like OpenAI, the project has been effectively displaced by modern geospatial intelligence (GEOINT) platforms like those from BlackSky, Planet Labs, or specialized OSINT toolsets used by organizations like Bellingcat. The displacement horizon is set at 6 months because any modern engineer could replicate and exceed the performance of this 2014-era MATLAB script using off-the-shelf YOLO or ViT models in a weekend.
TECH STACK
INTEGRATION
reference_implementation
READINESS