Drone Image

Drone imagery analysis leverages computer vision techniques to extract meaningful information from aerial images captured by unmanned aerial vehicles (UAVs). Current research focuses on improving object detection and classification accuracy in diverse scenarios, employing deep learning models like YOLOv8 and vision transformers, often incorporating data augmentation and fusion of RGB and infrared data to overcome challenges like varying lighting, weather conditions, and occlusion. This field is crucial for various applications, including environmental monitoring (e.g., species population counts, invasive species detection), infrastructure inspection (e.g., power line damage assessment), and disaster response (e.g., assessing human conditions after a disaster), offering efficient and cost-effective solutions compared to traditional methods.