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
ISSN
0277786X
Publisher
SPIE
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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