Hybrid Deep Neural Networks for Drone High Level Intent Classification using Non-Cooperative Radar Data
Author:
Affiliation:
1. Cranfield University,Sch. of Aerospace Transport and Manufacturing,Bedford,UK
2. Cranfield University,Centre for Autonomous and Cyberphysical Systems,Bedford,UK
Funder
Royal Academy of Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252859.pdf?arnumber=10252859
Reference31 articles.
1. DopplerNet: a convolutional neural network for recognising targets in real scenarios using a persistent range–Doppler radar
2. Identification and optimal control of nonlinear systems using recurrent neural networks and reinforcement learning: An overview
3. Performance Objective Extraction of Optimal Controllers: A Hippocampal Learning Approach
4. Multi‐time frequency analysis and classification of a micro‐drone carrying payloads using multistatic radar
5. Known operator learning and hybrid machine learning in medical imaging—a review of the past, the present, and the future
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