Neural Networks for Automatic Recognition of Military Deployment Templates

摘要

A key function in tactical intelligence, is the ability to recognize patterns ofbehaviour in opposing force activities. Deployment templates are patterns that define the spatial layout opposing force units are known to employ, when carrying out a range of different operations. The early detection of these patterns, provide key indicators to intelligence analysts, for predicting future opposing force activities. In this paper, we investigate the use of neural networks to automatically detect deployment templates, when given full or partial opposing unit positional information. The spatial template recognition problem is a subset of many spatial pattern recognition problems found throughout defence, and the demonstrated success of this approach, could have important military implications beyond this particular application.