Computer Vision for EO (JCWD)

22 June 2023 - Issue 27.2 (June 2023) of the Journal of Conventional Weapons Destruction features an article by Adam Harvey (Vframe) and Emile LeBrun (T4T) entitled ‘Computer Vision Detection of Explosive Ordnance: A High-performance 9N235/9N210 Submunition Detector’, describing a computer vision algorithm creation workflow developed to automate the detection of the 9N235/9N210 cluster submunition, a heavily deployed munition in the Ukraine conflict. The six-step process described here incorporates photography, photogrammetry, 3D-rendering, 3D-printing, and deep convolutional neural networks. The resulting high-performance detector can be deployed for searching and filtering images generated as part of OSINT investigations and soon, for real-time field detection objectives.