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Deep Learning for Unmanned Aerial Vehicle-based Object Detection and Tracking: A Survey - 2021

Deep Learning For Unmanned Aerial Vehicle-Based Object Detection And Tracking: A Survey

Research Area:  Machine Learning

Abstract:

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.

Keywords:  

Author(s) Name:  Xin Wu; Wei Li; Danfeng Hong; Ran Tao; Qian Du

Journal name:  IEEE Geoscience and Remote Sensing Magazine

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/MGRS.2021.3115137

Volume Information:  Volume: 10, Issue: 1, March 2022