Space-Time Multilayer Model for Battlefields Recognition
Changeun Lee, Jaeuk Back, Seungwon Do, Sungwoo Jun, Young-Guk Ha · 2022
In the army, military power continues to decline due to aging and declining population. It is necessary to strengthen future defense capabilities by identifying potential threats that commanders are likely to miss, improving the viability of the combat system, ensuring smart commanders always win conflicts and providing reasonable battlefield recognition based on data science In this paper, we propose a space-time multi layer model for battlefields recognition. We design an architecture and generate dataset for training the neural network. Simulation results are provided to demonstrate the performance of battlefields recognition.