Classification of UAV-to-Ground Vehicles Based on Micro-Doppler Signatures Using Singular Value Decomposition and Deep Convolutional Neural Networks

Classification of UAV-to-Ground Vehicles Based on Micro-Doppler Signatures Using Singular Value Decomposition and Deep Convolutional Neural Networks

Attack from the unmanned aerial vehicles (UAVs) has been the main means of high-precision strike. Therefore, classifying ground vehicles from the UAV with high accuracy is of great significance. In order to avoid the complex feature extracting process and realize the classification of UAV-to-ground...

Full description

Bibliographic Details
Main Authors: Lingzhi Zhu, Shuning Zhang, Huichang Zhao, Si Chen, Dongxu Wei, Xiangyu Lu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification
UAV-to-ground vehicles
micro-doppler signatures
singular value decomposition
deep convolutional neural networks
Online Access:https://ieeexplore.ieee.org/document/8640094/

Internet

https://ieeexplore.ieee.org/document/8640094/

Similar Items