Enhanced Maritime Target Recognition Using YOLO-LSTM-MF Radar-Infrared Fusion Technology

This paper presents a study on radar-infrared composite guidance technology, focusing on the integration of radar and infrared sensors for enhanced target detection and tracking in complex environments. The primary challenge addressed in this work is the efficient fusion of multi-sensor data to improve guidance accuracy and resistance to countermeasures. We explore the development of novel algorithms for sensor data synchronization, spatial alignment, and real-time processing, aiming to optimize the overall performance of the guidance system. The paper also examines the key technical hurdles in combining radar and infrared systems, such as sensor fusion, error correction, and anti-jamming capabilities. By focusing on these critical issues, this study contributes to the advancement of composite guidance technology, offering potential applications in missile guidance systems and other precision targeting fields. Experimental results validate the effectiveness of the proposed approach, demonstrating its superior performance compared to conventional guidance methods. The findings highlight the potential for significant improvements in both military and civil applications.