Classification of Bird and Drone Targets Based on Motion Characteristics and Random Forest Model Using Surveillance Radar Data

Classification of Bird and Drone Targets Based on Motion Characteristics and Random Forest Model Using Surveillance Radar Data

Accurate detection and tracking of birds and drones are of great significance in various low altitude airspace surveillance scenarios. Radar is currently the most proper long range surveillance technology for this problem but also challenged by various difficulties on effective distinguishing betwee...

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Bibliographic Details
Main Authors: Jia Liu, Qun Yu Xu, Wei Shi Chen
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Target detection
radar tracking
target classification
feature extraction
machine learning
Online Access:https://ieeexplore.ieee.org/document/9626001/

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