A Comprehensive Review, New Advancements, and Outstanding Problems in the Use of Deep Learning Algorithms for Object Recognition in Real-Time Drone Surveillance
Keywords:
Unidentified Aircraft,, Deep learning, Both one-stage and two-stage detectors are consideredAbstract
In recent years, deep learning (DL) has become an indispensable technique for remote sensing, especially for analyzing photos taken by UAVs. Despite its widespread applicability and notable contributions, the purpose of this study is to provide a thorough overview of the topic. 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.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.










