Use of Deep Learning Algorithms for Object Recognition in Live Drone Observation: A Comprehensive Analysis, Current Advancements, and Future Directions Issues

Abstract

For the purpose of analyzing photos taken by unmanned aerial vehicles (UAVs), deep learning (DL) has become an invaluable tool in remote sensing. This review seeks to provide a thorough grasp of the topic, despite the fact that it has produced notable contributions across many applications. Included in the paper is a comprehensive review of current methods and their real-world uses for object recognition in drone surveillance in real-time. Aerial vehicles without names, deep learning, one-stage detectors, and two-stage detectors are all terms that come up while discussing this topic.