객체 판단을 위한 레이더 및 열상관측장비의 연계 방안 연구

초록

Radar (Radio Detection and Ranging) systems play a pivotal role in modern warfare by detecting the range, azimuth, and elevation of targets using radio frequency (RF) signals. Despite their effectiveness in long-range detection, radars have limitations in object classification due to insufficient information beyond radar cross section (RCS), speed, and trajectory. In contrast, Thermal Observation Devices (TODs) offer superior classification accuracy at shorter ranges through direct imaging, but lack in detection and sensing performance. This study proposes a complementary fusion of radar and TOD technologies to overcome their individual limitations. Furthermore, it presents an object classification method using the YOLO model to identify detected targets more accurately. The proposed approach enhances surveillance and reconnaissance capabilities in complex and diverse operational environments.

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