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Multi-Sensor Fusion Technique Enhances UAV Classification Accuracy Using Image and Radar Data

Researchers proposed a multi-sensor fusion methodology that combines thermal, optronic, and radar data using a deep neural network to classify UAVs. The CNN-based architecture stacks image features from different sensors to achieve higher classification accuracy than any single sensor alone.