Intelligent model mining in sensor data for military mission environment representation
conference paper
Military operations are in constant need of up-to-date information about the mission environment. For mission planning, rehearsal, and continuous decision support, detailed information is required on the terrain surface as well as all natural and man-made features. Our research aims to provide the military with a detailed 3D representation of these elements. In this paper, we present how electro-optical remote sensing data acquired by airborne platforms can be exploited to automatically model the mission environment. Our focus is on a model mining approach that aligns with the principles of generative neuro-symbolic artificial intelligence by integrating deep learning-based data analysis with a priori knowledge-based symbolic reasoning: a combination of artificial and real intelligence. We illustrate the approach by automatically extracting a power line infrastructure model from point cloud data. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.
Topics
TNO Identifier
1023330
DOI
https://dx.doi.org/10.1117/12.3069981
ISSN
0277786X
Publisher
International Society for Optical Engineering
Article nr.
1367915
Source title
3rd Artificial Intelligence for Security and Defence Applications, Madrid, 2025-09-16 through 2025-09-18
Editor(s)
Kuijf, H.J.
Prabhu, R.
Yitzhaky, Y.
Prabhu, R.
Yitzhaky, Y.
Pages
1-11
Files
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