A UAV Detection in Complex Environments Method Based on Cross-Modal Fusion of Infrared and Visible images

Key Points

• The detection method significantly improves recognition accuracy in complex environmental settings, leveraging both infrared and visible images.
• Accuracy rates exceeded 90% in identifying UAVs amid visually cluttered backgrounds, confirming the effectiveness of cross-modal fusion techniques.
• Assessment using image processing algorithms on diverse datasets reveals that the proposed approach enhances object recognition capabilities.
• This research highlights the need for advanced detection strategies in UAV technology, indicating potential applications in security and surveillance.