Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey
Xin Wu, Wei Li, Danfeng Hong, Ran Tao, Qian Du · IEEE Geoscience and Remote Sensing Magazine · 2021
Owing to effective and flexible data acquisition, unmanned aerial vehicles (UAVs) have recently become a hotspot across the fields of computer vision (CV) and remote sensing (RS). Inspired by the recent success of deep learning (DL), many advanced object detection and tracking approaches have been widely applied to various UAV-related tasks, such as environmental monitoring, precision agriculture, and traffic management.