Multi-temporal Adaptive Red-Green-Blue and Long-Wave Infrared Fusion for You Only Look Once-Based Landmine Detection from Unmanned Aerial Systems

This article describes a research paper on landmine detection using a fusion of different sensor data (RGB and long-wave infrared) and a specific object detection model (You Only Look Once - YOLO). The focus is on improving landmine detection from drones by combining multiple data sources and adapting to temporal changes. The use of 'multi-temporal' suggests the system considers data collected over time, potentially improving accuracy and robustness.

• •Focus on landmine detection using drones.
• •Combines RGB and long-wave infrared data.
• •Employs the YOLO object detection model.
• •Utilizes multi-temporal data for improved accuracy.